40 classes matched your search criteria.

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 Session
 
09/05/2017 - 12/13/2017
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 415
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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~001&term=1179
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/05/2017 - 12/13/2017
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~002&term=1179
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/05/2017 - 12/13/2017
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~003&term=1179
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/05/2017 - 12/13/2017
Tue, Thu 06:00PM - 07:15PM
UMTC, West Bank
Hubert H Humphrey Center 184
 
09/05/2017 - 12/13/2017
Thu 07:30PM - 08:30PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~005&term=1179
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 Session
 
09/05/2017 - 12/13/2017
Tue 07:30PM - 08:30PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~006&term=1179
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 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~008&term=1179
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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~009&term=1179
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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~010&term=1179
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 Session
 
09/06/2016 - 12/14/2016
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~001&term=1169
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/06/2016 - 12/14/2016
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~002&term=1169
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/06/2016 - 12/14/2016
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~003&term=1169
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/06/2016 - 12/14/2016
Tue, Thu 06:00PM - 07:15PM
UMTC, West Bank
Blegen Hall 317
 
09/06/2016 - 12/14/2016
Thu 07:30PM - 08:00PM
UMTC, West Bank
Blegen 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~005&term=1169
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/06/2016 - 12/14/2016
Tue 07:30PM - 08:30PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~006&term=1169
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/06/2016 - 12/14/2016
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+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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~008&term=1169
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc
Past Syllabi:
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 Session
 
09/06/2016 - 12/14/2016
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+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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~009&term=1169
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc
Past Syllabi:
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 Session
 
09/06/2016 - 12/14/2016
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+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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~010&term=1169
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2016.doc
Past Syllabi:
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 Session
 
09/08/2015 - 12/16/2015
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~001&term=1159
Syllabus:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf
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 Session
 
09/08/2015 - 12/16/2015
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~002&term=1159
Syllabus:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf
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 Session
 
09/08/2015 - 12/16/2015
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~003&term=1159
Syllabus:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf
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 Session
 
09/08/2015 - 12/16/2015
Tue 06:00PM - 08:45PM
UMTC, West Bank
Blegen 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% Lecture
40% 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~005&term=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 Session
 
09/08/2015 - 12/16/2015
Thu 04:30PM - 05:45PM
UMTC, West Bank
Hubert 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% Lecture
40% 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~006&term=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 Session
 
09/08/2015 - 12/16/2015
Thu 06:00PM - 07:15PM
UMTC, West Bank
Hubert 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% Lecture
40% 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~007&term=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 Session
 
09/08/2015 - 12/16/2015
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~008&term=1159
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc
Past Syllabi:
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 Session
 
09/08/2015 - 12/16/2015
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. 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~009&term=1159
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc
Past Syllabi:
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 Session
 
09/08/2015 - 12/16/2015
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. 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~010&term=1159
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5031_Fall2015.doc
Past Syllabi:
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 Session
 
09/02/2014 - 12/10/2014
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Hanson 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~001&term=1149
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/02/2014 - 12/10/2014
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~002&term=1149
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/02/2014 - 12/10/2014
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~003&term=1149
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/02/2014 - 12/10/2014
Tue 06:00PM - 08:45PM
UMTC, West Bank
Carlson 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~005&term=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 Session
 
09/02/2014 - 12/10/2014
Thu 04:30PM - 05:45PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~006&term=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 Session
 
09/02/2014 - 12/10/2014
Thu 06:00PM - 07:15PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~007&term=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 Session
 
09/03/2013 - 12/11/2013
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~001&term=1139
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/03/2013 - 12/11/2013
Fri 11:15AM - 12:30PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~002&term=1139
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/03/2013 - 12/11/2013
Fri 09:45AM - 11:00AM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~003&term=1139
Past Syllabi:
http://classinfo.umn.edu/syllabi/dlevison_PA5031_Fall2015.pdf (Fall 2015)
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 Session
 
09/03/2013 - 12/11/2013
Tue 06:00PM - 08:45PM
UMTC, West Bank
Carlson 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~005&term=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 Session
 
09/03/2013 - 12/11/2013
Thu 04:30PM - 05:45PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~006&term=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 Session
 
09/03/2013 - 12/11/2013
Thu 06:00PM - 07:15PM
UMTC, West Bank
Hubert 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~007&term=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 Session
 
09/03/2013 - 12/11/2013
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Carlson 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~008&term=1139
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:
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 Session
 
09/03/2013 - 12/11/2013
Tue 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 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~009&term=1139
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:
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 Session
 
09/03/2013 - 12/11/2013
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 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:
http://www.bookstores.umn.edu/buybooks.cgi?deptlookup=1&search=PA5031~010&term=1139
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:
11 December 2013

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