54 classes matched your search criteria.
PA 5031 is also offered in Fall 2020
PA 5031 is also offered in Fall 2019
PA 5031 is also offered in Fall 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
- 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_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_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_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_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 Session09/03/2019 - 12/11/2019Tue, Thu 11:15AM - 12:30PMUMTC, West BankBlegen 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_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 Session09/03/2019 - 12/11/2019Fri 09:45AM - 11:00AMUMTC, West BankHubert 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_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 Session09/03/2019 - 12/11/2019Fri 02:15PM - 03:30PMUMTC, West BankHubert 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_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 Session09/03/2019 - 12/11/2019Tue, Thu 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/03/2019 - 12/11/2019Fri 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/03/2019 - 12/11/2019Fri 12:45PM - 02:00PMUMTC, West BankHubert 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 Session09/04/2018 - 12/12/2018Tue, Thu 11:15AM - 12:30PMUMTC, West BankAnderson 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
- 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 Session09/04/2018 - 12/12/2018Fri 11:15AM - 12:30PMUMTC, West BankHubert 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
- 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 Session09/04/2018 - 12/12/2018Fri 09:45AM - 11:00AMUMTC, West BankHubert 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
- 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 Session09/04/2018 - 12/12/2018Fri 12:45PM - 02:00PMUMTC, West BankHubert 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
- 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 Session09/05/2017 - 12/13/2017Tue, Thu 11:15AM - 12:30PMUMTC, West BankCarlson 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 Session09/05/2017 - 12/13/2017Fri 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/05/2017 - 12/13/2017Fri 09:45AM - 11:00AMUMTC, West BankHubert 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 Session09/05/2017 - 12/13/2017Tue, Thu 06:00PM - 07:15PMUMTC, West BankHubert H Humphrey Center 18409/05/2017 - 12/13/2017Thu 07:30PM - 08:30PMUMTC, West BankHubert 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 Session09/05/2017 - 12/13/2017Tue 07:30PM - 08:30PMUMTC, West BankHubert 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 Session09/05/2017 - 12/13/2017Tue, Thu 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/05/2017 - 12/13/2017Thu 01:00PM - 02:15PMUMTC, West BankHubert 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 Session09/05/2017 - 12/13/2017Tue 02:30PM - 03:45PMUMTC, West BankHubert 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 Session09/06/2016 - 12/14/2016Tue, Thu 11:15AM - 12:30PMUMTC, West BankBlegen 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 Session09/06/2016 - 12/14/2016Fri 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/06/2016 - 12/14/2016Fri 09:45AM - 11:00AMUMTC, West BankHubert 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 Session09/06/2016 - 12/14/2016Tue, Thu 06:00PM - 07:15PMUMTC, West BankBlegen Hall 31709/06/2016 - 12/14/2016Thu 07:30PM - 08:00PMUMTC, West BankBlegen 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 Session09/06/2016 - 12/14/2016Tue 07:30PM - 08:30PMUMTC, West BankHubert 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 Session09/06/2016 - 12/14/2016Tue, Thu 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/06/2016 - 12/14/2016Thu 01:00PM - 02:15PMUMTC, West BankHubert 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 Session09/06/2016 - 12/14/2016Tue 02:30PM - 03:45PMUMTC, West BankHubert 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 Session09/08/2015 - 12/16/2015Tue, Thu 11:15AM - 12:30PMUMTC, West BankBlegen 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 Session09/08/2015 - 12/16/2015Fri 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/08/2015 - 12/16/2015Fri 09:45AM - 11:00AMUMTC, West BankHubert 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 Session09/08/2015 - 12/16/2015Tue 06:00PM - 08:45PMUMTC, West BankBlegen 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% Lecture40% 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 Session09/08/2015 - 12/16/2015Thu 04:30PM - 05:45PMUMTC, West BankHubert 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% Lecture40% 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 Session09/08/2015 - 12/16/2015Thu 06:00PM - 07:15PMUMTC, West BankHubert 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% Lecture40% 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 Session09/08/2015 - 12/16/2015Tue, Thu 11:15AM - 12:30PMUMTC, West BankBlegen 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 Session09/08/2015 - 12/16/2015Thu 01:00PM - 02:15PMUMTC, West BankHubert 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 Session09/08/2015 - 12/16/2015Tue 02:30PM - 03:45PMUMTC, West BankHubert 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 Session09/02/2014 - 12/10/2014Tue, Thu 11:15AM - 12:30PMUMTC, West BankHanson 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 Session09/02/2014 - 12/10/2014Fri 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/02/2014 - 12/10/2014Fri 09:45AM - 11:00AMUMTC, West BankHubert 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 Session09/02/2014 - 12/10/2014Tue 06:00PM - 08:45PMUMTC, West BankCarlson 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 Session09/02/2014 - 12/10/2014Thu 04:30PM - 05:45PMUMTC, West BankHubert 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 Session09/02/2014 - 12/10/2014Thu 06:00PM - 07:15PMUMTC, West BankHubert 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 Session09/03/2013 - 12/11/2013Tue, Thu 11:15AM - 12:30PMUMTC, West BankBlegen 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 Session09/03/2013 - 12/11/2013Fri 11:15AM - 12:30PMUMTC, West BankHubert 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 Session09/03/2013 - 12/11/2013Fri 09:45AM - 11:00AMUMTC, West BankHubert 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 Session09/03/2013 - 12/11/2013Tue 06:00PM - 08:45PMUMTC, West BankCarlson 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 Session09/03/2013 - 12/11/2013Thu 04:30PM - 05:45PMUMTC, West BankHubert 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 Session09/03/2013 - 12/11/2013Thu 06:00PM - 07:15PMUMTC, West BankHubert 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 Session09/03/2013 - 12/11/2013Tue, Thu 11:15AM - 12:30PMUMTC, West BankCarlson 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 Session09/03/2013 - 12/11/2013Tue 01:00PM - 02:15PMUMTC, West BankHubert 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 Session09/03/2013 - 12/11/2013Thu 01:00PM - 02:15PMUMTC, West BankHubert 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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