12 classes matched your search criteria.

Fall 2023  |  PA 5045 Section 001: Statistics for Public Affairs, Accelerated (23353)

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 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 25
 
09/05/2023 - 12/13/2023
UMTC, West Bank
UMN ONLINE-HYB
Enrollment Status:
Open (24 of 35 seats filled)
Also Offered:
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
PA 5045-001 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). http://classinfo.umn.edu/?arfertig+PA5045+Fall2023
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/23353/1239

Fall 2023  |  PA 5045 Section 002: Statistics for Public Affairs, Accelerated (23354)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Wed 08:15AM - 09:30AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (24 of 35 seats filled)
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
PA 5045-001 lecture will be offered as "HyFlex." Students may choose to either attend In Person or Remotely (synchronously online). http://classinfo.umn.edu/?arfertig+PA5045+Fall2023
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/23354/1239

Fall 2022  |  PA 5045 Section 001: Statistics for Public Affairs, Accelerated (23809)

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
 
09/06/2022 - 12/14/2022
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Hubert H Humphrey Center 35
 
09/06/2022 - 12/14/2022
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 35
Enrollment Status:
Open (23 of 33 seats filled)
Also Offered:
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
http://classinfo.umn.edu/?gabechan+PA5045+Fall2022
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/23809/1229
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2022  |  PA 5045 Section 002: Statistics for Public Affairs, Accelerated (23810)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Fri 08:15AM - 09:30AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (23 of 33 seats filled)
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
http://classinfo.umn.edu/?gabechan+PA5045+Fall2022
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/23810/1229
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2021  |  PA 5045 Section 001: Statistics for Public Affairs, Accelerated (25847)

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
Hubert H Humphrey Center 35
 
09/07/2021 - 12/15/2021
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 35
Enrollment Status:
Open (29 of 34 seats filled)
Also Offered:
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
http://classinfo.umn.edu/?gabechan+PA5045+Fall2021
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/25847/1219
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2021  |  PA 5045 Section 002: Statistics for Public Affairs, Accelerated (25848)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Fri 08:15AM - 09:30AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (29 of 33 seats filled)
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
http://classinfo.umn.edu/?gabechan+PA5045+Fall2021
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/25848/1219
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2020  |  PA 5045 Section 001: Statistics for Public Affairs, Accelerated (20719)

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
 
09/08/2020 - 12/16/2020
Fri 09:45AM - 11:00AM
Off Campus
UMN REMOTE
Enrollment Status:
Open (23 of 34 seats filled)
Also Offered:
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
5045 will be offered REMOTELY. Class will meet synchronously-online during Fall 2020 - Lecture on Tu/Th, 11:15 - 12:30 and Fri, 9:45-11:00. Lab on Fri, 8:15 - 9:30. http://classinfo.umn.edu/?gabechan+PA5045+Fall2020
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/20719/1209
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2020  |  PA 5045 Section 002: Statistics for Public Affairs, Accelerated (20720)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Fri 08:15AM - 09:30AM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Open (23 of 34 seats filled)
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
5045 will be offered REMOTELY. Class will meet synchronously-online during Fall 2020 - Lecture on Tu/Th, 11:15 - 12:30 and Fri, 9:45-11:00. Lab on Fri, 8:15 - 9:30. http://classinfo.umn.edu/?gabechan+PA5045+Fall2020
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/20720/1209
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2019  |  PA 5045 Section 001: Statistics for Public Affairs, Accelerated (24010)

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 35
 
09/03/2019 - 12/11/2019
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 25
Enrollment Status:
Closed (34 of 34 seats filled)
Also Offered:
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
http://classinfo.umn.edu/?gabechan+PA5045+Fall2019
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/24010/1199
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2019  |  PA 5045 Section 002: Statistics for Public Affairs, Accelerated (24011)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Fri 08:15AM - 09:30AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Closed (34 of 34 seats filled)
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
http://classinfo.umn.edu/?gabechan+PA5045+Fall2019
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/24011/1199
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2018  |  PA 5045 Section 001: Statistics for Public Affairs, Accelerated (35272)

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
Hubert H Humphrey Center 35
 
09/04/2018 - 12/12/2018
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 25
Enrollment Status:
Open (32 of 34 seats filled)
Also Offered:
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
http://classinfo.umn.edu/?gabechan+PA5045+Fall2018
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/35272/1189
Instructor Supplied Information Last Updated:
11 July 2018

Fall 2018  |  PA 5045 Section 002: Statistics for Public Affairs, Accelerated (35273)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Fri 08:15AM - 09:30AM
UMTC, West Bank
Hubert H Humphrey Center 85
Auto Enrolls With:
Section 001
Enrollment Status:
Open (32 of 34 seats filled)
Course Catalog Description:
Introduces a range of quantitative tools that are commonly used to inform issues in public affairs. The course provides an introduction to descriptive statistics, probability, and statistical inference, with an emphasis on the ways in which quantitative tools are applied to a diverse range of practical policy questions. PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031.
Class Notes:
http://classinfo.umn.edu/?gabechan+PA5045+Fall2018
Class Description:
Lab section for PA 5045. See course description for PA 5045 Section 001.
Who Should Take This Class?:
PA 5045 is an accelerated treatment of applied statistics for public affairs and serves as a more mathematically and conceptually rigorous alternative to PA 5031. PA 5045 moves at a more rapid pace and spends more time on policy applications and advanced topics. While neither PA 5031 or PA 5045 have enforced prerequisites, PA 5045 is recommended for students with prior statistical coursework or for students without prior coursework but a strong interest in pursuing a quantitatively oriented career and a willingness to work hard during the semester. PA 5045 is recommended (but not required) for students planning on enrolling in PA 5044 (Applied Regression, Accelerated) in the Spring.

Students self-select into taking PA 5031 or PA 5045. Students should consult instructors of the courses during orientation and their advisor. Below are some suggested rules of thumb of making a decision about which course to enroll in. For students interested in PA5045, it is recommended that you:
  • have taken at least one prior course in statistics covering topics such as: basic probability rules, conditional probability, probability distributions, hypothesis testing, and confidence intervals
  • scored above the 80th percentile on the quantitative GRE
  • have professional experience applying statistical techniques in a public affairs context
  • anticipate a career that will require extensive application and consumption of quantitative analysis
Learning Objectives:
Develop an appreciation for the applicability and limitations of the tools of probability and statistics to inform real-world situations and courses of action in public affairs;

Apply quantitative reasoning to inform contemporary issues in public affairs by beginning with a policy question, identifying a data set, determining appropriate statistical analysis techniques, conducting such analysis using software, identifying the most salient findings and patterns emerging from the data, and presenting your findings in an effective manner to a decision maker;

Critically consume and critique policy analysis in which statistical analysis and quantitative reasoning is used;

Develop confidence in learning new statistical techniques, approaching quantitative data, and synthesizing empirical evidence.
Grading:
Final class grades will be based on the following criteria:

10% - Problem sets (9 total)

10% - Class participation

15% - Final exercise

15% - Midterm 1

15% - Midterm 2

5% - Stata quiz

30% - Final Exam

Exam Format:
There will be two midterms and a final exam. These will be closed book/notes and a formula sheet will be provided. Calculators may be used, but statistical functions on them may not. Calculators that allow text storage are not permitted.
Class Format:
Class instruction will be delivered in two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab.

The required textbook for the class is OpenIntro Statistics (3rd Edition) by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel, developed by the OpenIntro 501(c)(3) nonprofit. This textbook is available immediately and for free online in regular PDF and tablet-friendly PDF (you may also purchase a hard copy for $15-25 on Amazon): https://www.openintro.org/stat/textbook.php

Software is an integral part of conducting statistical analysis. This semester, you will conduct analysis in two software packages, Microsoft Excel and Stata. Labs will teach you key software skills, and problem sets will contain exercises designed to get you to practice the basics of both software packages. The Humphrey School's computer labs have Stata installed and you are not required to purchase Stata. You will learn the key Excel and Stata skills necessary for the course in lecture and labs.

mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-latin;
mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">We'll also be making use of the in-class polling platform, Poll Everywhere. To participate, you will need to bring an internet-connected device (i.e. smartphone, tablet, or laptop) or phone to every class.

Workload:
PA 5045 requires concurrent enrollment in a lab section and is a 4-credit course. Under UMN policy, it is expected that the academic work required of graduate and professional school students will exceed three hours per credit per week. Therefore, you should expect a workload of at least 12 hours per week. Each week there will be two 75-minute lectures, an optional 75-minute recitation led by TAs, and a 75-minute lab. Therefore, you should expect approximately 7 hours per week of work outside of scheduled class.
Textbooks:
https://bookstores.umn.edu/course-lookup/35273/1189
Instructor Supplied Information Last Updated:
11 July 2018

ClassInfo Links - Public Affairs Classes

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If you have questions about specific courses, we strongly encourage you to contact the department where the course resides.