4 classes matched your search criteria.
PA 5031 is also offered in Fall 2024
PA 5031 is also offered in Fall 2023
PA 5031 is also offered in Fall 2022
PA 5031 is also offered in Fall 2021
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 Session09/08/2020 - 12/16/2020Tue, Thu 11:15AM - 12:30PMOff CampusUMN 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 Session09/08/2020 - 12/16/2020Fri 09:45AM - 11:00AMOff CampusUMN 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 Session09/08/2020 - 12/16/2020Fri 11:15AM - 12:30PMOff CampusUMN 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 Session09/08/2020 - 12/16/2020Fri 12:45PM - 02:00PMOff CampusUMN 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
ClassInfo Links - Fall 2020 Public Affairs Classes
- To link directly to this ClassInfo page from your website or to save it as a bookmark, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5031&term=1209
- To see a URL-only list for use in the Faculty Center URL fields, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5031&term=1209&url=1
- To see this page output as XML, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5031&term=1209&xml=1
- To see this page output as JSON, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5031&term=1209&json=1
- To see this page output as CSV, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5031&term=1209&csv=1
ClassInfo created and maintained by the Humphrey School of Public Affairs.
If you have questions about specific courses, we strongly encourage you to contact the department where the course resides.