3 classes matched your search criteria.

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 Session
 
09/05/2017 - 12/13/2017
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Hubert 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 Session
 
09/05/2017 - 12/13/2017
Thu 01:00PM - 02:15PM
UMTC, West Bank
Hubert 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 Session
 
09/05/2017 - 12/13/2017
Tue 02:30PM - 03:45PM
UMTC, West Bank
Hubert 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

ClassInfo Links - Fall 2017 Public Affairs Classes Taught by Jason Cao

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