I. Variation

• Introduction
• Data
• Describing Categorical Data
• Describing Numerical Data
• Association Between Categorical Variables
• Association Between Quantitative Variables

• II. Probability

• Probability
• Conditional Probability
• Random Variables
• Association Between Random Variables
• Probability Models for Counts
• The Normal Probability Model

• III. Inference

• Samples and Surveys
• Sampling Variation and Quality
• Confidence Intervals
• Statistical Tests
• Comparison
• Inference for Counts

• IV. Regression Models

• Linear Patterns
• Curved Patterns
• The Simple Regression Model
• Regression Diagnostics
• Multiple Regression
• Building Regression Models
• Categorical Explanatory Variables
• Analysis of Variance
• Time Series

• Supplementary Material (Online-Only)

  Alternative Approaches to Inference

  Two-Way Analysis of Variance

  Regression with Big Data