2010 Spring POLSCI 233L-01
Bulletin Course Description Applications of regression models of politics emphasizing the effect of assumptions behind Generalized Least Squares regression. Instructor: Munger
(Instructor named in bulletin description above may not be current. For current instructor, see listing below.)
Title INTERMED STAT METHODS Department POLSCI Course Number 2010 Spring 233L Section Number 01 Primary Instructor Munger,Michael Prerequisites Prerequisite: Political Science 222; consent of instructor required for undergraduates.
Synopsis of course content
This course is the intermediate graduate statistics course on inference and model testing. It is also a good course for undergraduates with advanced backgrounds, so long as you have have had a mathematical probability course. We will cover sampling, inference, simple non-parametric tests, linear regression, and some topics in time series and maximum likelihood.
Textbooks
Statistical Methods for the Social Sciences, Fourth Edition,
Alan Agresti and Barbara Finlay
Assignments
Graded problem sets, bi-weekly.
Final project, presented to class in last two weeks.
Exams
Midterm exam, on concepts
Term Papers
Final project, Powerpoint
Grade to be based on
Problem sets: 30%
Midterm: 40%
Final Project: 30%
