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-

· 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

· Confidence Intervals and Hypothesis Tests

· Experiments

· 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

· 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)

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