3 classes matched your search criteria.

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

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Enrollment Status:
Open (0 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/20632/1209
Past Syllabi:
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
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Fri 09:45AM - 11:00AM
UMTC, West Bank
Auto Enrolls With:
Section 001
Enrollment Status:
Open (0 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/20633/1209
Past Syllabi:
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
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Fri 02:15PM - 03:30PM
UMTC, West Bank
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:
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/20634/1209
Past Syllabi:
http://classinfo.umn.edu/syllabi/arfertig_PA5031_Fall2018.docx (Fall 2018)
Instructor Supplied Information Last Updated:
23 July 2018

ClassInfo Links - Fall 2020 5000 Level Public Affairs Classes Taught by Angie Fertig

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