3 classes matched your search criteria.

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

ClassInfo Links - Fall 2023 Public Affairs Classes Taught by Angie Fertig

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