78 classes matched your search criteria.

Fall 2024  |  PA 5031 Section 001: Statistics for Public Affairs (23028)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Partially Online
Enrollment Requirements:
Dev prac or Human Rights major or Pub Pol or STEP ng major or minor or PA PhD
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 425
 
09/03/2024 - 12/11/2024
UMTC, West Bank
UMN ONLINE-HYB
Enrollment Status:
Open (0 of 40 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
PA 5031-001 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:

Quantitative analysis skills for public affairs research and practice. Topics will include quantitative study design, descriptive statistics, correlation, probability distributions, sampling, statistical tests, and ordinary least squares regression.

Who Should Take This Class?:
Entering graduate students in the social sciences. Students interested in domestic issues and data should register for sections 001, 002, and 003, which will use US data for examples and assignments. For students interested in using international data, please register for sections 004, 005, or 006.

Learning Objectives:
This course is intended to provide familiarity with statistical terminology and methodology used in the policy arena as well as the popular media; to teach you to interpret and criticize statistical results; to enable you to use basic statistical techniques for research or policy analysis; and to encourage you to think about how statistics can be used to shed light on (or hide) and enhance positions of power or privilege in societies.
Grading:

Class Format:
Sections 001, 002, and 003 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remote (synchronously online). All lectures will be video recorded for later viewing. Lab sessions are in-person only in a computer lab in the Humphrey Building. Note that sections 004, 005, and 006 will be in person only for lectures and labs.
Textbooks:
https://bookstores.umn.edu/course-lookup/23028/1249
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
30 August 2023

Fall 2024  |  PA 5031 Section 002: Statistics for Public Affairs (23029)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (0 of 20 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
PA 5031-001 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). Lab is in person. More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:

Quantitative analysis skills for public affairs research and practice. Topics will include quantitative study design, descriptive statistics, correlation, probability distributions, sampling, statistical tests, and ordinary least squares regression.

Who Should Take This Class?:
Entering graduate students in the social sciences. Students interested in domestic issues and data should register for sections 001, 002, and 003, which will use US data for examples and assignments. For students interested in using international data, please register for sections 004, 005, or 006.

Learning Objectives:
This course is intended to provide familiarity with statistical terminology and methodology used in the policy arena as well as the popular media; to teach you to interpret and criticize statistical results; to enable you to use basic statistical techniques for research or policy analysis; and to encourage you to think about how statistics can be used to shed light on (or hide) and enhance positions of power or privilege in societies.
Grading:

Class Format:
Sections 001, 002, and 003 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remote (synchronously online). All lectures will be video recorded for later viewing. Lab sessions are in-person only in a computer lab in the Humphrey Building. Note that sections 004, 005, and 006 will be in person only for lectures and labs.
Textbooks:
https://bookstores.umn.edu/course-lookup/23029/1249
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
30 August 2023

Fall 2024  |  PA 5031 Section 003: Statistics for Public Affairs (23030)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Fri 12:45PM - 02:00PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (0 of 20 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
PA 5031-001 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). Lab is in person. More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:

Quantitative analysis skills for public affairs research and practice. Topics will include quantitative study design, descriptive statistics, correlation, probability distributions, sampling, statistical tests, and ordinary least squares regression.

Who Should Take This Class?:
Entering graduate students in the social sciences. Students interested in domestic issues and data should register for sections 001, 002, and 003, which will use US data for examples and assignments. For students interested in using international data, please register for sections 004, 005, or 006.

Learning Objectives:
This course is intended to provide familiarity with statistical terminology and methodology used in the policy arena as well as the popular media; to teach you to interpret and criticize statistical results; to enable you to use basic statistical techniques for research or policy analysis; and to encourage you to think about how statistics can be used to shed light on (or hide) and enhance positions of power or privilege in societies.
Grading:

Class Format:
Sections 001, 002, and 003 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remote (synchronously online). All lectures will be video recorded for later viewing. Lab sessions are in-person only in a computer lab in the Humphrey Building. Note that sections 004, 005, and 006 will be in person only for lectures and labs.
Textbooks:
https://bookstores.umn.edu/course-lookup/23030/1249
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
30 August 2023

Fall 2024  |  PA 5031 Section 004: Statistics for Public Affairs (23126)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
Dev prac or Human Rights major or Pub Pol or STEP ng major or minor or PA PhD
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 415
Enrollment Status:
Open (0 of 36 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Uses int'l data for some examples/assignments; in-person only. MORE INFO about stats course options: https://z.umn.edu/HHH_Stats_Options.
Class Description:
This is the global section of PA 5031. The course will cover: basic statistical tools for empirical analysis of public policy alternatives; frequency distributions; descriptive statistics; elementary probability/probability distributions; statistical inference; estimation/hypothesis testing; cross-tabulation/chi-square distribution; correlation; simple/multiple regression analysis; sampling and survey design.
Who Should Take This Class?:
The global section of PA 5031 is ideal for students interested in international development and/or global policy. The datasets, examples, and journal articles used in this section will focus primarily on low- and middle-income countries.
Textbooks:
https://bookstores.umn.edu/course-lookup/23126/1249
Instructor Supplied Information Last Updated:
7 August 2023

Fall 2024  |  PA 5031 Section 005: Statistics for Public Affairs (23129)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 004
Enrollment Status:
Open (0 of 18 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Uses int'l data for some examples/assignments; in-person only. More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:
This is the global section of PA 5031. The course will cover: basic statistical tools for empirical analysis of public policy alternatives; frequency distributions; descriptive statistics; elementary probability/probability distributions; statistical inference; estimation/hypothesis testing; cross-tabulation/chi-square distribution; correlation; simple/multiple regression analysis; sampling and survey design.
Who Should Take This Class?:
The global section of PA 5031 is ideal for students interested in international development and/or global policy. The datasets, examples, and journal articles used in this section will focus primarily on low- and middle-income countries.
Textbooks:
https://bookstores.umn.edu/course-lookup/23129/1249
Instructor Supplied Information Last Updated:
7 August 2023

Fall 2024  |  PA 5031 Section 006: Statistics for Public Affairs (23125)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Fri 02:15PM - 03:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 004
Enrollment Status:
Open (0 of 18 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Uses int'l data for some examples/assignments; in-person only. More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:
This is the global section of PA 5031. The course will cover: basic statistical tools for empirical analysis of public policy alternatives; frequency distributions; descriptive statistics; elementary probability/probability distributions; statistical inference; estimation/hypothesis testing; cross-tabulation/chi-square distribution; correlation; simple/multiple regression analysis; sampling and survey design.
Who Should Take This Class?:
The global section of PA 5031 is ideal for students interested in international development and/or global policy. The datasets, examples, and journal articles used in this section will focus primarily on low- and middle-income countries.
Textbooks:
https://bookstores.umn.edu/course-lookup/23125/1249
Instructor Supplied Information Last Updated:
7 August 2023

Fall 2023  |  PA 5031 Section 001: Statistics for Public Affairs (23287)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Partially Online
Enrollment Requirements:
Dev prac or Human Rights major or Pub Pol or STEP ng major or minor or PA PhD
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Tue, Thu 08:15AM - 09:30AM
UMTC, West Bank
Hubert H Humphrey Center 25
 
09/05/2023 - 12/13/2023
UMTC, West Bank
UMN ONLINE-HYB
Enrollment Status:
Open (40 of 48 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
PA 5031-001 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). http://classinfo.umn.edu/?arfertig+PA5031+Fall2023. More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:

Quantitative analysis skills for public affairs research and practice. Topics will include quantitative study design, descriptive statistics, correlation, probability distributions, sampling, statistical tests, and ordinary least squares regression.

Who Should Take This Class?:
Entering graduate students in the social sciences. Students interested in domestic issues and data should register for sections 001, 002, and 003, which will use US data for examples and assignments. For students interested in using international data, please register for sections 004, 005, or 006.

Learning Objectives:
This course is intended to provide familiarity with statistical terminology and methodology used in the policy arena as well as the popular media; to teach you to interpret and criticize statistical results; to enable you to use basic statistical techniques for research or policy analysis; and to encourage you to think about how statistics can be used to shed light on (or hide) and enhance positions of power or privilege in societies.
Grading:

Class Format:
Sections 001, 002, and 003 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remote (synchronously online). All lectures will be video recorded for later viewing. Lab sessions are in-person only in a computer lab in the Humphrey Building. Note that sections 004, 005, and 006 will be in person only for lectures and labs.
Textbooks:
https://bookstores.umn.edu/course-lookup/23287/1239
Syllabus:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
30 August 2023

Fall 2023  |  PA 5031 Section 002: Statistics for Public Affairs (23288)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (23 of 24 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
PA 5031-001 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). http://classinfo.umn.edu/?arfertig+PA5031+Fall2023. More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:

Quantitative analysis skills for public affairs research and practice. Topics will include quantitative study design, descriptive statistics, correlation, probability distributions, sampling, statistical tests, and ordinary least squares regression.

Who Should Take This Class?:
Entering graduate students in the social sciences. Students interested in domestic issues and data should register for sections 001, 002, and 003, which will use US data for examples and assignments. For students interested in using international data, please register for sections 004, 005, or 006.

Learning Objectives:
This course is intended to provide familiarity with statistical terminology and methodology used in the policy arena as well as the popular media; to teach you to interpret and criticize statistical results; to enable you to use basic statistical techniques for research or policy analysis; and to encourage you to think about how statistics can be used to shed light on (or hide) and enhance positions of power or privilege in societies.
Grading:

Class Format:
Sections 001, 002, and 003 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remote (synchronously online). All lectures will be video recorded for later viewing. Lab sessions are in-person only in a computer lab in the Humphrey Building. Note that sections 004, 005, and 006 will be in person only for lectures and labs.
Textbooks:
https://bookstores.umn.edu/course-lookup/23288/1239
Syllabus:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
30 August 2023

Fall 2023  |  PA 5031 Section 003: Statistics for Public Affairs (23289)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Fri 12:45PM - 02:00PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (17 of 24 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
PA 5031-001 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). http://classinfo.umn.edu/?arfertig+PA5031+Fall2023. More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:

Quantitative analysis skills for public affairs research and practice. Topics will include quantitative study design, descriptive statistics, correlation, probability distributions, sampling, statistical tests, and ordinary least squares regression.

Who Should Take This Class?:
Entering graduate students in the social sciences. Students interested in domestic issues and data should register for sections 001, 002, and 003, which will use US data for examples and assignments. For students interested in using international data, please register for sections 004, 005, or 006.

Learning Objectives:
This course is intended to provide familiarity with statistical terminology and methodology used in the policy arena as well as the popular media; to teach you to interpret and criticize statistical results; to enable you to use basic statistical techniques for research or policy analysis; and to encourage you to think about how statistics can be used to shed light on (or hide) and enhance positions of power or privilege in societies.
Grading:

Class Format:
Sections 001, 002, and 003 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remote (synchronously online). All lectures will be video recorded for later viewing. Lab sessions are in-person only in a computer lab in the Humphrey Building. Note that sections 004, 005, and 006 will be in person only for lectures and labs.
Textbooks:
https://bookstores.umn.edu/course-lookup/23289/1239
Syllabus:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
30 August 2023

Fall 2023  |  PA 5031 Section 004: Statistics for Public Affairs (32187)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
Dev prac or Human Rights major or Pub Pol or STEP ng major or minor or PA PhD
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 205
Enrollment Status:
Open (21 of 36 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
New faculty member, Heather Randall, will be instructor. Uses int'l data for some examples/assignments; in-person only. http://classinfo.umn.edu/?hrandell+PA5031+Fall2023. MORE INFO about stats course options: https://z.umn.edu/HHH_Stats_Options.
Class Description:
This is the global section of PA 5031. The course will cover: basic statistical tools for empirical analysis of public policy alternatives; frequency distributions; descriptive statistics; elementary probability/probability distributions; statistical inference; estimation/hypothesis testing; cross-tabulation/chi-square distribution; correlation; simple/multiple regression analysis; sampling and survey design.
Who Should Take This Class?:
The global section of PA 5031 is ideal for students interested in international development and/or global policy. The datasets, examples, and journal articles used in this section will focus primarily on low- and middle-income countries.
Textbooks:
https://bookstores.umn.edu/course-lookup/32187/1239
Instructor Supplied Information Last Updated:
7 August 2023

Fall 2023  |  PA 5031 Section 005: Statistics for Public Affairs (32282)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 004
Enrollment Status:
Open (10 of 18 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
New faculty member, Heather Randall, will be instructor. Uses int'l data for some examples/assignments; in-person only. http://classinfo.umn.edu/?hrandell+PA5031+Fall2023 More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:
This is the global section of PA 5031. The course will cover: basic statistical tools for empirical analysis of public policy alternatives; frequency distributions; descriptive statistics; elementary probability/probability distributions; statistical inference; estimation/hypothesis testing; cross-tabulation/chi-square distribution; correlation; simple/multiple regression analysis; sampling and survey design.
Who Should Take This Class?:
The global section of PA 5031 is ideal for students interested in international development and/or global policy. The datasets, examples, and journal articles used in this section will focus primarily on low- and middle-income countries.
Textbooks:
https://bookstores.umn.edu/course-lookup/32282/1239
Instructor Supplied Information Last Updated:
7 August 2023

Fall 2023  |  PA 5031 Section 006: Statistics for Public Affairs (23408)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Fri 02:15PM - 03:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 004
Enrollment Status:
Open (11 of 18 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
New faculty member, Heather Randall, will be instructor. Uses int'l data for some examples/assignments; in-person only. http://classinfo.umn.edu/?hrandell+PA5031+Fall2023 More info about stats course options here: https://z.umn.edu/HHH_Stats_Options
Class Description:
This is the global section of PA 5031. The course will cover: basic statistical tools for empirical analysis of public policy alternatives; frequency distributions; descriptive statistics; elementary probability/probability distributions; statistical inference; estimation/hypothesis testing; cross-tabulation/chi-square distribution; correlation; simple/multiple regression analysis; sampling and survey design.
Who Should Take This Class?:
The global section of PA 5031 is ideal for students interested in international development and/or global policy. The datasets, examples, and journal articles used in this section will focus primarily on low- and middle-income countries.
Textbooks:
https://bookstores.umn.edu/course-lookup/23408/1239
Instructor Supplied Information Last Updated:
7 August 2023

Fall 2022  |  PA 5031 Section 001: Statistics for Public Affairs (23738)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Partially Online
Enrollment Requirements:
Dev prac or Human Rights major or Pub Pol or STEP ng major or minor or PA PhD
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Anderson Hall 230
 
09/06/2022 - 12/14/2022
UMTC, West Bank
UMN ONLINE-HYB
Enrollment Status:
Open (104 of 112 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
The PA 5031 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). http://classinfo.umn.edu/?arfertig+PA5031+Fall2022
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/23738/1229
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2022  |  PA 5031 Section 002: Statistics for Public Affairs (23739)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Closed (28 of 27 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Section 2 lab will be In Person. http://classinfo.umn.edu/?arfertig+PA5031+Fall2022
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/23739/1229
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2022  |  PA 5031 Section 003: Statistics for Public Affairs (23740)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (25 of 28 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Section 3 lab will be In Person. http://classinfo.umn.edu/?arfertig+PA5031+Fall2022
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/23740/1229
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2022  |  PA 5031 Section 004: Statistics for Public Affairs (23808)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Fri 12:45PM - 02:00PM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Closed (31 of 31 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Section 4 lab will be REMOTE (synchronously online). Students may participate from HHH 85, if they wish. http://classinfo.umn.edu/?arfertig+PA5031+Fall2022
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/23808/1229
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2022  |  PA 5031 Section 005: Statistics for Public Affairs (34471)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Fri 02:15PM - 03:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (20 of 27 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Section 5 lab will be IN PERSON. http://classinfo.umn.edu/?arfertig+PA5031+Fall2022
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/34471/1229
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2021  |  PA 5031 Section 001: Statistics for Public Affairs (25762)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Enrollment Requirements:
Dev prac or Human Rights major or Pub Pol or STEP ng major or minor or PA PhD
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 130
Enrollment Status:
Open (57 of 60 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2021
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/25762/1219
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2021  |  PA 5031 Section 002: Statistics for Public Affairs (25763)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Fri 02:15PM - 03:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (17 of 29 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2021
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/25763/1219
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2021  |  PA 5031 Section 003: Statistics for Public Affairs (25764)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Fri 12:45PM - 02:00PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (19 of 25 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2021
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/25764/1219
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2021  |  PA 5031 Section 004: Statistics for Public Affairs (25843)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Enrollment Requirements:
Dev prac or Human Rights major or Pub Pol or STEP ng major or minor or PA PhD
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
West Bank Skyway AUDITORIUM
Enrollment Status:
Open (45 of 60 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2021
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Who Should Take This Class?:
Students with a focus on the Global South/developing countries are encouraged to take this section. The other lecture section of PA 5031
is domestically (U.S.) oriented, while his section is designed for students with international interests.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/25843/1219
Instructor Supplied Information Last Updated:
18 April 2021

Fall 2021  |  PA 5031 Section 005: Statistics for Public Affairs (25857)

Instructor(s)
Class Component:
Laboratory
Meets With:
PA 8991 Section 008
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 004
Enrollment Status:
Open (22 of 27 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2021
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Who Should Take This Class?:
Students with a focus on the Global South/developing countries are encouraged to take this section. The other lecture section of PA 5031
is domestically (U.S.) oriented, while his section is designed for students with international interests.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/25857/1219
Instructor Supplied Information Last Updated:
18 April 2021

Fall 2021  |  PA 5031 Section 006: Statistics for Public Affairs (25858)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 004
Enrollment Status:
Open (23 of 25 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2021
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Who Should Take This Class?:
Students with a focus on the Global South/developing countries are encouraged to take this section. The other lecture section of PA 5031
is domestically (U.S.) oriented, while his section is designed for students with international interests.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/25858/1219
Instructor Supplied Information Last Updated:
18 April 2021

Fall 2021  |  PA 5031 Section 007: Statistics for Public Affairs (36600)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Thu 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (21 of 24 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
http://classinfo.umn.edu/?arfertig+PA5031+Fall2021
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/36600/1219
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2020  |  PA 5031 Section 001: Statistics for Public Affairs (20632)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Enrollment Requirements:
Dev prac or Human Rights major or Pub Pol or STEP ng major or minor or PA PhD
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Tue, Thu 11:15AM - 12:30PM
Off Campus
UMN REMOTE
Enrollment Status:
Open (78 of 100 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Fall 2020's PA 5031 will be offered REMOTELY and will meet synchronously-online. Lecture section is scheduled for Tuesdays/Thursdays, 11:15 - 12:30. Labs are scheduled for Fridays, 9:45-11, 11:15-12:30, and 12:45-2:00. http://classinfo.umn.edu/?arfertig+PA5031+Fall2020
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/20632/1209
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2020  |  PA 5031 Section 002: Statistics for Public Affairs (20633)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Fri 09:45AM - 11:00AM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Open (33 of 40 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Fall 2020's PA 5031 will be offered REMOTELY and will meet synchronously-online. Lecture section is scheduled for Tuesdays/Thursdays, 11:15 - 12:30. Labs are scheduled for Fridays, 9:45-11, 11:15-12:30, and 12:45-2:00. http://classinfo.umn.edu/?arfertig+PA5031+Fall2020
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/20633/1209
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2020  |  PA 5031 Section 003: Statistics for Public Affairs (20634)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Fri 11:15AM - 12:30PM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Open (26 of 40 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Fall 2020's PA 5031 will be offered REMOTELY and will meet synchronously-online. Lecture section is scheduled for Tuesdays/Thursdays, 11:15 - 12:30. Labs are scheduled for Fridays, 9:45-11, 11:15-12:30, and 12:45-2:00. http://classinfo.umn.edu/?arfertig+PA5031+Fall2020
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/20634/1209
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2020  |  PA 5031 Section 004: Statistics for Public Affairs (20729)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Fri 12:45PM - 02:00PM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Open (19 of 20 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
Fall 2020's PA 5031 will be offered REMOTELY and will meet synchronously-online. Lecture section is scheduled for Tuesdays/Thursdays, 11:15 - 12:30. Labs are scheduled for Fridays, 9:45-11, 11:15-12:30, and 12:45-2:00. http://classinfo.umn.edu/?arfertig+PA5031+Fall2020
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/20729/1209
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2019  |  PA 5031 Section 001: Statistics for Public Affairs (23891)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 155
Enrollment Status:
Open (45 of 48 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2019
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/23891/1199
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2019  |  PA 5031 Section 002: Statistics for Public Affairs (23892)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Closed (25 of 23 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2019
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/23892/1199
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2019  |  PA 5031 Section 003: Statistics for Public Affairs (23893)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Fri 02:15PM - 03:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Closed (20 of 20 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2019
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/23893/1199
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2019  |  PA 5031 Section 004: Statistics for Public Affairs (24005)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 25
Enrollment Status:
Open (39 of 48 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2019
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/24005/1199
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2019  |  PA 5031 Section 005: Statistics for Public Affairs (32983)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 004
Enrollment Status:
Open (19 of 22 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2019
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/32983/1199
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2019  |  PA 5031 Section 006: Statistics for Public Affairs (32984)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Fri 12:45PM - 02:00PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 004
Enrollment Status:
Open (20 of 24 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2019
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/32984/1199
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2018  |  PA 5031 Section 001: Statistics for Public Affairs (24268)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Anderson Hall 270
Enrollment Status:
Open (85 of 89 seats filled)
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2018
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/24268/1189
Syllabus:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2018  |  PA 5031 Section 002: Statistics for Public Affairs (24269)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (24 of 27 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2018
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/24269/1189
Syllabus:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2018  |  PA 5031 Section 003: Statistics for Public Affairs (24270)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (29 of 31 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?arfertig+PA5031+Fall2018
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/24270/1189
Syllabus:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2018  |  PA 5031 Section 004: Statistics for Public Affairs (35012)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Fri 12:45PM - 02:00PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Closed (32 of 30 seats filled)
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
http://classinfo.umn.edu/?arfertig+PA5031+Fall2018
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Learning Objectives:
This course is intended to provide familiarity with statistical terminology used on an everyday basis in the policy arena as well as the popular media; to provide an understanding of the methodology behind the numbers; to enable students to use basic statistical techniques in the course of research or policy analysis; to teach students to critically interpret statistical results; and to encourage students to think about implicit assumptions about numbers that affect our work, public policy decisions, and our lives. In particular, I want students to think about how statistics can be used to shed light on (or hide) and enhance positions of power and privilege in societies.
Textbooks:
https://bookstores.umn.edu/course-lookup/35012/1189
Syllabus:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2023.pdf (Fall 2023)
Instructor Supplied Information Last Updated:
23 July 2018

Fall 2017  |  PA 5031 Section 001: Empirical Analysis I (21193)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Carlson School of Management 1-132
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?dlevison+PA5031+Fall2017
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/21193/1179
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2017  |  PA 5031 Section 002: Empirical Analysis I (21194)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?dlevison+PA5031+Fall2017
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/21194/1179
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2017  |  PA 5031 Section 003: Empirical Analysis I (21195)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?dlevison+PA5031+Fall2017
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/21195/1179
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2017  |  PA 5031 Section 005: Empirical Analysis I (21213)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue, Thu 06:00PM - 07:15PM
UMTC, West Bank
Hubert H Humphrey Center 184
 
09/05/2017 - 12/13/2017
Thu 07:30PM - 08:30PM
UMTC, West Bank
Hubert H Humphrey Center 184
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?gabechan+PA5031+Fall2017
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Textbooks:
https://bookstores.umn.edu/course-lookup/21213/1179
Syllabus:
http://classinfo.umn.edu/syllabi/gabechan_PA5031_Fall2017.docx
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2017  |  PA 5031 Section 006: Empirical Analysis I (21214)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue 07:30PM - 08:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 005
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?gabechan+PA5031+Fall2017
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Textbooks:
https://bookstores.umn.edu/course-lookup/21214/1179
Syllabus:
http://classinfo.umn.edu/syllabi/gabechan_PA5031_Fall2017.docx
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2017  |  PA 5031 Section 008: Empirical Analysis I (21289)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 25
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?cao+PA5031+Fall2017
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey.
Grading:
15% + 15% Homework (five from lecture, five from lab)
15% + 15% Exams 1 + 2
10% Lab quiz
10% Multivariate analysis exam
10% Final
10% Participation
Exam Format:
individual exams and group exams
Class Format:
group discussion and lecture
Workload:
demanding amount of outside-of-class time effort. This course covers a lot of material. 12 hours per week of work to achieve an average grade.
Textbooks:
https://bookstores.umn.edu/course-lookup/21289/1179
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
8 May 2017

Fall 2017  |  PA 5031 Section 009: Empirical Analysis I (21290)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Thu 01:00PM - 02:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 008
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?cao+PA5031+Fall2017
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey.
Grading:
15% + 15% Homework (five from lecture, five from lab)
15% + 15% Exams 1 + 2
10% Lab quiz
10% Multivariate analysis exam
10% Final
10% Participation
Exam Format:
individual exams and group exams
Class Format:
group discussion and lecture
Workload:
demanding amount of outside-of-class time effort. This course covers a lot of material. 12 hours per week of work to achieve an average grade.
Textbooks:
https://bookstores.umn.edu/course-lookup/21290/1179
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
8 May 2017

Fall 2017  |  PA 5031 Section 010: Empirical Analysis I (21291)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 008
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?cao+PA5031+Fall2017
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey.
Grading:
15% + 15% Homework (five from lecture, five from lab)
15% + 15% Exams 1 + 2
10% Lab quiz
10% Multivariate analysis exam
10% Final
10% Participation
Exam Format:
individual exams and group exams
Class Format:
group discussion and lecture
Workload:
demanding amount of outside-of-class time effort. This course covers a lot of material. 12 hours per week of work to achieve an average grade.
Textbooks:
https://bookstores.umn.edu/course-lookup/21291/1179
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
8 May 2017

Fall 2016  |  PA 5031 Section 001: Empirical Analysis I (21359)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 317
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?dlevison+PA5031+Fall2016
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/21359/1169
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2016  |  PA 5031 Section 002: Empirical Analysis I (21360)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?dlevison+PA5031+Fall2016
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/21360/1169
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2016  |  PA 5031 Section 003: Empirical Analysis I (21361)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?dlevison+PA5031+Fall2016
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/21361/1169
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2016  |  PA 5031 Section 005: Empirical Analysis I (21379)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Tue, Thu 06:00PM - 07:15PM
UMTC, West Bank
Blegen Hall 317
 
09/06/2016 - 12/14/2016
Thu 07:30PM - 08:00PM
UMTC, West Bank
Blegen Hall 317
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?dlevison+PA5031+Fall2016
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/21379/1169
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2016  |  PA 5031 Section 006: Empirical Analysis I (21380)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Tue 07:30PM - 08:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 005
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?dlevison+PA5031+Fall2016
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/21380/1169
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2016  |  PA 5031 Section 008: Empirical Analysis I (21480)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 25
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?cao+PA5031+Fall2016
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Grading:
15% + 15% Homework (five from lecture, five from lab)
15% + 15% Exams 1 + 2
10% Lab quiz
10% Multivariate analysis exam
10% Final
10% Participation
Exam Format:
individual exams and group exams
Class Format:
group discussion and lecture
Workload:
demanding amount of outside-of-class time effort. This course covers a lot of material. 12 hours per week of work to achieve an average grade.
Textbooks:
https://bookstores.umn.edu/course-lookup/21480/1169
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
6 October 2016

Fall 2016  |  PA 5031 Section 009: Empirical Analysis I (21481)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Thu 01:00PM - 02:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 008
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?cao+PA5031+Fall2016
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Grading:
15% + 15% Homework (five from lecture, five from lab)
15% + 15% Exams 1 + 2
10% Lab quiz
10% Multivariate analysis exam
10% Final
10% Participation
Exam Format:
individual exams and group exams
Class Format:
group discussion and lecture
Workload:
demanding amount of outside-of-class time effort. This course covers a lot of material. 12 hours per week of work to achieve an average grade.
Textbooks:
https://bookstores.umn.edu/course-lookup/21481/1169
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
6 October 2016

Fall 2016  |  PA 5031 Section 010: Empirical Analysis I (21482)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Tue 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 008
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Notes:
If you are a mjr or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights mjr, you should be able to register without a permission number. http://classinfo.umn.edu/?cao+PA5031+Fall2016
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Grading:
15% + 15% Homework (five from lecture, five from lab)
15% + 15% Exams 1 + 2
10% Lab quiz
10% Multivariate analysis exam
10% Final
10% Participation
Exam Format:
individual exams and group exams
Class Format:
group discussion and lecture
Workload:
demanding amount of outside-of-class time effort. This course covers a lot of material. 12 hours per week of work to achieve an average grade.
Textbooks:
https://bookstores.umn.edu/course-lookup/21482/1169
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
6 October 2016

Fall 2015  |  PA 5031 Section 001: Empirical Analysis I (11774)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 235
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2015
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/11774/1159
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2015  |  PA 5031 Section 002: Empirical Analysis I (11775)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2015
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/11775/1159
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2015  |  PA 5031 Section 003: Empirical Analysis I (11776)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?dlevison+PA5031+Fall2015
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/11776/1159
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2015  |  PA 5031 Section 005: Empirical Analysis I (13298)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Tue 06:00PM - 08:45PM
UMTC, West Bank
Blegen Hall 10
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?zhang700+PA5031+Fall2015
Class Description:
Quantitative skills and mathematical thinking are crucial for your future career success. In PA 5031, we will explore the nature of basic statistics for social sciences as a core mathematical body of knowledge with its own logic, as a quantitative way of thinking, and as a powerful tool for understanding and describing social and political phenomena. Quantitative skills and mathematical thinking are also very challenging for students. In PA 5031, we will conquer mathematical barriers together in following ways: (1) building up confidence of learning mathematics; (2) treating math/formulas as a new "foreign" language; (3)
working on examples with increasing difficulty in a step-by-step manner.


As an entry-level quantitative analysis course for master students, PA 5031 covers statistical foundations and computation skills that are designed to prepare students for their future learning at the Humphrey School. More in details, PA 5031 emphasizes basic statistical descriptions and inferences of survey data in a ***learning-by-doing style***. First, lectures of this course expose students to mathematic knowledge of statistical methods with rich and diverse examples of social and political issues and cover following topics (1) numerical data description with frequency table, central tendencies, and dispersions; (2) graphical data presentation; (3) basics on probability theory and statistical inference; (4)
bivariate association and correlation; (5) linear regression. Next, laboratory sessions co-taught by our two TAs will introduce you basic computing and data manipulation techniques using Stata, very popular stat software for empirical analyses in the academia and various industries. In labs, students are expected to apply theoretical knowledge to investigate real survey data (General Social Survey 2012) and complete two assignment packages. In addition to attending lectures and labs, students are expected to read and preview around 30 pages of the text plus PPT slides per week. There will be two random quizzes and two exams. Students will need a scientific calculator for assignments, quizzes, and exams.


Grading:

Distribution of a 100-point scale:

Two assignments, 15% each and totally 30%;

Two exams, 30% each and totally 60%;

Two random quizzes, 5% each and totally 10%;

There is NO extra credit for this class.

Letter grades on a 100-point scale:

100-95=A; 94-90 =A-; 89-85=B+; 84-80=B; 79-75=B-;

74-70=C+; 69-65=C; 64-60=C-; 59-50=D; <50=F.


Exam Format:
Written, in-class
Class Format:
60% Lecture
40% Lab
Workload:
In addition to attending lectures and labs, students are expected to read and preview around 30 pages of the text plus PPT slides per week. There will be two random quizzes and two exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/13298/1159
Syllabus:
http://classinfo.umn.edu/syllabi/zhang700_PA5031_Fall2015.pdf
Instructor Supplied Information Last Updated:
31 August 2015

Fall 2015  |  PA 5031 Section 006: Empirical Analysis I (13299)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Thu 04:30PM - 05:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 005
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?zhang700+PA5031+Fall2015
Class Description:
Quantitative skills and mathematical thinking are crucial for your future career success. In PA 5031, we will explore the nature of basic statistics for social sciences as a core mathematical body of knowledge with its own logic, as a quantitative way of thinking, and as a powerful tool for understanding and describing social and political phenomena. Quantitative skills and mathematical thinking are also very challenging for students. In PA 5031, we will conquer mathematical barriers together in following ways: (1) building up confidence of learning mathematics; (2) treating math/formulas as a new "foreign" language; (3)
working on examples with increasing difficulty in a step-by-step manner.


As an entry-level quantitative analysis course for master students, PA 5031 covers statistical foundations and computation skills that are designed to prepare students for their future learning at the Humphrey School. More in details, PA 5031 emphasizes basic statistical descriptions and inferences of survey data in a ***learning-by-doing style***. First, lectures of this course expose students to mathematic knowledge of statistical methods with rich and diverse examples of social and political issues and cover following topics (1) numerical data description with frequency table, central tendencies, and dispersions; (2) graphical data presentation; (3) basics on probability theory and statistical inference; (4)
bivariate association and correlation; (5) linear regression. Next, laboratory sessions co-taught by our two TAs will introduce you basic computing and data manipulation techniques using Stata, very popular stat software for empirical analyses in the academia and various industries. In labs, students are expected to apply theoretical knowledge to investigate real survey data (General Social Survey 2012) and complete two assignment packages. In addition to attending lectures and labs, students are expected to read and preview around 30 pages of the text plus PPT slides per week. There will be two random quizzes and two exams. Students will need a scientific calculator for assignments, quizzes, and exams.


Grading:

Distribution of a 100-point scale:

Two assignments, 15% each and totally 30%;

Two exams, 30% each and totally 60%;

Two random quizzes, 5% each and totally 10%;

There is NO extra credit for this class.

Letter grades on a 100-point scale:

100-95=A; 94-90 =A-; 89-85=B+; 84-80=B; 79-75=B-;

74-70=C+; 69-65=C; 64-60=C-; 59-50=D; <50=F.


Exam Format:
Written, in-class
Class Format:
60% Lecture
40% Lab
Workload:
In addition to attending lectures and labs, students are expected to read and preview around 30 pages of the text plus PPT slides per week. There will be two random quizzes and two exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/13299/1159
Syllabus:
http://classinfo.umn.edu/syllabi/zhang700_PA5031_Fall2015.pdf
Instructor Supplied Information Last Updated:
31 August 2015

Fall 2015  |  PA 5031 Section 007: Empirical Analysis I (13586)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Thu 06:00PM - 07:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 005
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?zhang700+PA5031+Fall2015
Class Description:
Quantitative skills and mathematical thinking are crucial for your future career success. In PA 5031, we will explore the nature of basic statistics for social sciences as a core mathematical body of knowledge with its own logic, as a quantitative way of thinking, and as a powerful tool for understanding and describing social and political phenomena. Quantitative skills and mathematical thinking are also very challenging for students. In PA 5031, we will conquer mathematical barriers together in following ways: (1) building up confidence of learning mathematics; (2) treating math/formulas as a new "foreign" language; (3)
working on examples with increasing difficulty in a step-by-step manner.


As an entry-level quantitative analysis course for master students, PA 5031 covers statistical foundations and computation skills that are designed to prepare students for their future learning at the Humphrey School. More in details, PA 5031 emphasizes basic statistical descriptions and inferences of survey data in a ***learning-by-doing style***. First, lectures of this course expose students to mathematic knowledge of statistical methods with rich and diverse examples of social and political issues and cover following topics (1) numerical data description with frequency table, central tendencies, and dispersions; (2) graphical data presentation; (3) basics on probability theory and statistical inference; (4)
bivariate association and correlation; (5) linear regression. Next, laboratory sessions co-taught by our two TAs will introduce you basic computing and data manipulation techniques using Stata, very popular stat software for empirical analyses in the academia and various industries. In labs, students are expected to apply theoretical knowledge to investigate real survey data (General Social Survey 2012) and complete two assignment packages. In addition to attending lectures and labs, students are expected to read and preview around 30 pages of the text plus PPT slides per week. There will be two random quizzes and two exams. Students will need a scientific calculator for assignments, quizzes, and exams.


Grading:

Distribution of a 100-point scale:

Two assignments, 15% each and totally 30%;

Two exams, 30% each and totally 60%;

Two random quizzes, 5% each and totally 10%;

There is NO extra credit for this class.

Letter grades on a 100-point scale:

100-95=A; 94-90 =A-; 89-85=B+; 84-80=B; 79-75=B-;

74-70=C+; 69-65=C; 64-60=C-; 59-50=D; <50=F.


Exam Format:
Written, in-class
Class Format:
60% Lecture
40% Lab
Workload:
In addition to attending lectures and labs, students are expected to read and preview around 30 pages of the text plus PPT slides per week. There will be two random quizzes and two exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/13586/1159
Syllabus:
http://classinfo.umn.edu/syllabi/zhang700_PA5031_Fall2015.pdf
Instructor Supplied Information Last Updated:
31 August 2015

Fall 2015  |  PA 5031 Section 008: Empirical Analysis I (32900)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 155
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?cao+PA5031+Fall2015
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Textbooks:
https://bookstores.umn.edu/course-lookup/32900/1159
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2015  |  PA 5031 Section 009: Empirical Analysis I (32901)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Thu 01:00PM - 02:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 008
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?cao+PA5031+Fall2015
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Textbooks:
https://bookstores.umn.edu/course-lookup/32901/1159
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2015  |  PA 5031 Section 010: Empirical Analysis I (32903)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Tue 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 008
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis. prereq: Major in dev practice or major/minor in pub policy or [sci, tech, and environ policy] or urban/regional planning or PA PhD or instr consent
Class Notes:
http://classinfo.umn.edu/?cao+PA5031+Fall2015
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Correlation. Simple/multiple regression analysis. Sampling and survey
Textbooks:
https://bookstores.umn.edu/course-lookup/32903/1159
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
Instructor Supplied Information Last Updated:
11 August 2015

Fall 2014  |  PA 5031 Section 001: Empirical Analysis I (11888)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Hanson Hall 1-104
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/11888/1149
Instructor Supplied Information Last Updated:
26 August 2013

Fall 2014  |  PA 5031 Section 002: Empirical Analysis I (11889)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/11889/1149
Instructor Supplied Information Last Updated:
26 August 2013

Fall 2014  |  PA 5031 Section 003: Empirical Analysis I (11890)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/11890/1149
Instructor Supplied Information Last Updated:
26 August 2013

Fall 2014  |  PA 5031 Section 005: Empirical Analysis I (13494)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Tue 06:00PM - 08:45PM
UMTC, West Bank
Carlson School of Management L-114
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/13494/1149
Instructor Supplied Information Last Updated:
13 December 2013

Fall 2014  |  PA 5031 Section 006: Empirical Analysis I (13495)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Thu 04:30PM - 05:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 005
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/13495/1149
Instructor Supplied Information Last Updated:
13 December 2013

Fall 2014  |  PA 5031 Section 007: Empirical Analysis I (13806)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Thu 06:00PM - 07:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 005
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/13806/1149
Instructor Supplied Information Last Updated:
13 December 2013

Fall 2013  |  PA 5031 Section 001: Empirical Analysis I (17594)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 215
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/17594/1139
Instructor Supplied Information Last Updated:
26 August 2013

Fall 2013  |  PA 5031 Section 002: Empirical Analysis I (17595)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/17595/1139
Instructor Supplied Information Last Updated:
26 August 2013

Fall 2013  |  PA 5031 Section 003: Empirical Analysis I (17596)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, correlation, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square testing. Simple/multiple regression analysis. Hands-on learning using microdata from Brazil and Tanzania with the Stata statistical package.
Grading:
20% Final Exam
25% Reports/Papers
45% Quizzes
10% Class Participation Other Grading Information: Grading percentages are approximate. Class participation includes group preparation and participation.
Exam Format:
Written, in-class.
Class Format:
40% Lecture
8% Discussion
40% Laboratory
12% Small Group Activities
Workload:
1 Exam(s)
8 Homework Assignment(s)
12 Quiz(zes)
Other Workload: Students are expected to work problems in the textbook and check their answers.
Textbooks:
https://bookstores.umn.edu/course-lookup/17596/1139
Instructor Supplied Information Last Updated:
26 August 2013

Fall 2013  |  PA 5031 Section 005: Empirical Analysis I (19276)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Tue 06:00PM - 08:45PM
UMTC, West Bank
Carlson School of Management L-114
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/19276/1139
Instructor Supplied Information Last Updated:
13 December 2013

Fall 2013  |  PA 5031 Section 006: Empirical Analysis I (19277)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Thu 04:30PM - 05:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 005
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/19277/1139
Instructor Supplied Information Last Updated:
13 December 2013

Fall 2013  |  PA 5031 Section 007: Empirical Analysis I (19615)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Thu 06:00PM - 07:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 005
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/19615/1139
Instructor Supplied Information Last Updated:
13 December 2013

Fall 2013  |  PA 5031 Section 008: Empirical Analysis I (21772)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Carlson School of Management 2-233
Also Offered:
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/21772/1139
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
11 December 2013

Fall 2013  |  PA 5031 Section 009: Empirical Analysis I (21773)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Tue 01:00PM - 02:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 008
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/21773/1139
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
11 December 2013

Fall 2013  |  PA 5031 Section 010: Empirical Analysis I (21774)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Thu 01:00PM - 02:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 008
Course Catalog Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Class Description:
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability and probability distributions, statistical inference. Estimation and hypothesis testing. Cross-tabulation and chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
Textbooks:
https://bookstores.umn.edu/course-lookup/21774/1139
Past Syllabi:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2017.doc (Fall 2017)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc (Fall 2016)
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc (Fall 2015)
Instructor Supplied Information Last Updated:
11 December 2013

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