AP STATISTICS
RANDOM VARIABLES
Discrete and Continuous Random Variables
Transforming and Combining Random Variables
Binomial and Geometric Random Variables
SAMPLING DISTRIBUTIONS
What Is a Sampling Distribution?
Sample Proportions
Sample Means
ESTIMATING WITH CONFIDENCE
Confidence Intervals: The Basics
Estimating a Population Proportion
Estimating a Population Mean
TESTING A CLAIM
Significance Tests: The Basics
Tests about a Population Proportion
Tests about a Population's Mean
COMPARING TWO POPULATIONS OR GROUPS
Comparing Two Proportions
Comparing Two Means
Comparing Two Means: Paired Data
INFERENCE FOR DISTRIBUTIONS OF CATEGORICAL DATA
Chi-Square Tests for Goodness of Fit
Inference for Two-Way Tables
MORE ABOUT REGRESSION
Inference for Linear Regression
Transforming to Achieve Linearity
DATA ANALYSIS
Analyzing Categorical Data
Displaying Quantitative Data with Graphs
Describing Quantitative Data with Numbers
MODELING DISTRIBUTIONS OF DATA
Describing Location in a Distribution
Density Curves and Normal Distributions
DESCRIBING RELATIONSHIPS
Scatterplots and Correlation
Least-Squares Regression
COLLECTING DATA
Sampling and Surveys
Experiments
Using Studies Wisely
PROBABILITY: WHAT ARE THE CHANCES?
Randomness, Probability, and Simulation
Probability Rules
Conditional Probability and Independence