Donald Green
Political Science 500

Introduction to Statistics

 

·         Course Syllabus: Fall 2006

·         Problem Sets: Weeks 1-5

·         Solution Week 1

·         Solution Week 2

·         Solution Week 3

·         Solution Week 4

·         Problem Sets: Weeks 6- 8

·         Solution Week 6

·         Solution Week 7

·         Solution Week 8

·         Second Midterm

·         Descriptive Statistics

·         Data set to accompany "Descriptive Statistics"

·         Correlation

·         Data set to accompany "Correlation"

·         Models, Parameters, and Residuals: Regression Analysis

·         Data set to accompany "Regression": Presidential Approval and Consumer Sentiment

·         Another data set to accompany "Regression": A Voter Mobilization Experiment Randomized at the Precinct Level

·         Probability and Bayes' Rule

·         First Midterm

·         Expectations and Sampling Distributions

·         Sampling Distributions and Random Assignment

aaa·         Confidence Intervals and Hypothesis Tests

·         Experiments

  dd ·         Second Midterm

·         T-tests, Regression, and Matched Randomized Designs

·         Regression Tricks of the Trade: Interactions, Hypothesis Testing, Prediction

·         Multiple Regression Mechanics

·         Causal Order

·         Perils of Multiple Regression

ddd ·         Perils example dataset

·         Distinguishing Big and Small Problems

·         Survey Error in the Dependent Variable

·         The Importance of Importance, with Illustrations from Campbell's Forecasting Regression

·         James Campbell's 2004 Forecast

·         Campbell's Forecast Dataset

·         Final Exam: 2006

·         Review Problems

·         Solutions to Review Problems

·         Regression by hand (in Excel)

Web Site: vote.research.yale.edu
Copyright © Yale University, 2005