Lectures

Introduction
Conditional Probability and Independence
Law of Total Probability and Bayes Theorem
The Binomial Distribution
Other Related Distributions
Expected Values
Quantiles, Variance, Standard Deviation,
Variance, Covariance, and Sums
Estimation
Inference: Hypothesis Tests
Inference: Confidence Intervals
Properties of Hypothesis Tests
Normal Approximation
Graphics
QQplots
Z and t tests,
Comparing two or more Groups,
Randomization and Bootstrapping
Correlation and Regression
Regression Inference and Plots
Model Validation examples
The Linear Model
Case diagnostics
Anova, Ancova, and Dummy Variables
More Dummy Variables: Interactions
The F test
Anova, F and R-squared
Model Selection and Interpretation
More Model Selection and Interpretation
Extensions of the Linear Model
Logistic Regression: details
GLM Examples
Choropleths!