AP Statistics
Exploring data, sampling, probability and inference for AP Statistics, with worked examples, practice and separate worked answers.
The original chapters, examples, galleries and captured practice questions are retained. Source answers are shown separately where they were captured. Missing source graphics, unrecorded answers and original inconsistencies are identified beside the affected material.
AP Statistics · Fall 2026 course description
Chapters
Exploring Data ↗
Original chapter 1, in textbook order.
Sampling and Experimentation ↗
Original chapter 2, in textbook order.
Anticipating Patterns ↗
Original chapter 3, in textbook order.
Statistical Inference ↗
Original chapter 4, in textbook order.
AP® Practice Tests ↗
Original chapter 5, in textbook order.
Find a source reading
Browse the original chapter and section sequence.
- 1.1 Categorical DataReading · Exploring Data
- 1.2 Graphing Quantitative DataReading · Exploring Data
- 1.3 Numerical Summaries of Quantitative DataReading · Exploring Data
- 1.4 Measuring Position of Quantitative DataReading · Exploring Data
- 1.5 Correlation and Linear RegressionReading · Exploring Data
- 1.6 Expanding on Linear RegressionReading · Exploring Data
- 1.7 Transformations to Achieve LinearityReading · Exploring Data
- One Categorical Variable: Tables and SummariesReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- One Categorical Variable: Bar and Pie ChartsReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- One Quantitative Variable: Histograms, Stems, and DotsReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Describe a Quantitative Distribution in ContextReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Summary Statistics: Calculate and ChooseReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Five-Number Summaries and BoxplotsReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Compare Quantitative Distributions and Relative PositionReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Scatterplots: Preserve, Describe, and Defend the PatternReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Correlation: Linear Strength, Direction, and LimitsReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Linear Predictions: Substitute, Interpret, and Check the RangeReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Residuals: Signed Differences and Model FormReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Least Squares: Calculate the Fit and Interpret Its CoefficientsReading · Exploring Data
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- One Categorical Variable: Tables and Summaries — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- One Categorical Variable: Bar and Pie Charts — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- One Quantitative Variable: Histograms, Stems, and Dots — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Describe a Quantitative Distribution in Context — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Summary Statistics: Calculate and Choose — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Five-Number Summaries and Boxplots — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Compare Quantitative Distributions and Relative Position — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Scatterplots: Preserve, Describe, and Defend the Pattern — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Correlation: Linear Strength, Direction, and Limits — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Linear Predictions: Substitute, Interpret, and Check the Range — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Residuals: Signed Differences and Model Form — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- Least Squares: Calculate the Fit and Interpret Its Coefficients — Worked SolutionsSupporting reading · Exploring Data
Separate worked answers and task-specific rubrics.
- 2.1 Surveys and SamplingReading · Sampling and Experimentation
- 2.2 Observational Studies and ExperimentsReading · Sampling and Experimentation
- 2.3 Drawing Conclusions about StudiesReading · Sampling and Experimentation
- Introducing Statistics: Questions, Samples, and ContextReading · Sampling and Experimentation
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Variables: What Does Each Record Describe?Reading · Sampling and Experimentation
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Investigative Questions and Data CollectionReading · Sampling and Experimentation
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Random Sampling: Identify and Justify the MethodReading · Sampling and Experimentation
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Bias: Identify What Can Go WrongReading · Sampling and Experimentation
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Experimental Design: Make the Comparison FairReading · Sampling and Experimentation
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Introducing Statistics: Questions, Samples, and Context — Worked SolutionsSupporting reading · Sampling and Experimentation
Separate worked answers and task-specific rubrics.
- Variables: What Does Each Record Describe? — Worked SolutionsSupporting reading · Sampling and Experimentation
Separate worked answers and task-specific rubrics.
- Investigative Questions and Data Collection — Worked SolutionsSupporting reading · Sampling and Experimentation
Separate worked answers and task-specific rubrics.
- Random Sampling: Identify and Justify the Method — Worked SolutionsSupporting reading · Sampling and Experimentation
Separate worked answers and task-specific rubrics.
- Bias: Identify What Can Go Wrong — Worked SolutionsSupporting reading · Sampling and Experimentation
Separate worked answers and task-specific rubrics.
- Experimental Design: Make the Comparison Fair — Worked SolutionsSupporting reading · Sampling and Experimentation
Separate worked answers and task-specific rubrics.
- 3.1 Introduction to ProbabilityReading · Anticipating Patterns
- 3.2 Probability RulesReading · Anticipating Patterns
- 3.3 Probability DistributionsReading · Anticipating Patterns
- 3.4 Normal DistributionsReading · Anticipating Patterns
- 3.5 Transforming and Combining Random VariablesReading · Anticipating Patterns
- 3.6 Sampling Distributions of Sample ProportionsReading · Anticipating Patterns
- 3.7 Sampling Distributions of Sample MeansReading · Anticipating Patterns
- 2.1 Seeing Relationships Between Categorical VariablesReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.2 Joint, Marginal and Conditional Relative FrequenciesReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.3 Chance Models and SimulationReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.4 Events, Sample Spaces and ComplementsReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.5 Joint Probability and Disjoint EventsReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.6 Conditional Probability and MultiplicationReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.7 Independence and the Union of EventsReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.8 Constructing Discrete and Cumulative DistributionsReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.9 Mean and Spread of a Discrete DistributionReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.10 Binomial Counts: Model, Calculate and InterpretReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.11 Normal Models: Areas, Cutoffs and Relative PositionReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 2.12 Sampling and Randomization DistributionsReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 3.1 Point Estimates and Unbiased EstimatorsReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 3.2 Sampling Distributions for Sample ProportionsReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 3.9 Differences Between Sample ProportionsReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 4.1 Sampling Distributions for Sample MeansReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- 4.6 Differences Between Two Sample MeansReading · Anticipating Patterns
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Seeing Relationships Between Categorical Variables \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Joint, Marginal and Conditional Relative Frequencies \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Chance Models and Simulation \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Events, Sample Spaces and Complements \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Joint Probability and Disjoint Events \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Conditional Probability and Multiplication \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Independence and the Union of Events \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Constructing Discrete and Cumulative Distributions \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Mean and Spread of a Discrete Distribution \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Binomial Counts: Model, Calculate and Interpret \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Normal Models: Areas, Cutoffs and Relative Position \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Sampling and Randomization Distributions \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Point Estimates and Unbiased Estimators \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Sampling Distributions for Sample Proportions \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Differences Between Sample Proportions \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Sampling Distributions for Sample Means \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- Differences Between Two Sample Means \u2014 Answers and RubricsSupporting reading · Anticipating Patterns
Separate worked answers and task-specific rubrics.
- 4.1 Introduction to Confidence IntervalsReading · Statistical Inference
- 4.2 Inference as a DecisionReading · Statistical Inference
- 4.3 Introduction to Significance TestingReading · Statistical Inference
- 4.4 Intervals and Tests for Two ProportionsReading · Statistical Inference
- 4.5 Intervals and Tests for One MeanReading · Statistical Inference
- 4.6 Intervals and Tests for Two MeansReading · Statistical Inference
- 4.7 Intervals and Tests for Regression LinesReading · Statistical Inference
- 4.8 Chi Square TestsReading · Statistical Inference
- Estimating a Proportion: Confidence, Precision and a Population ClaimReading · Statistical Inference
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Testing a Proportion: What Would Happen Under the Null?Reading · Statistical Inference
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Errors and Power: Detecting a Difference Without Claiming CertaintyReading · Statistical Inference
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Two Proportions: Estimate Separately, Test a Common NullReading · Statistical Inference
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Two-Way Tables: Homogeneity and IndependenceReading · Statistical Inference
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- One Mean and Paired Differences: A Complete t InvestigationReading · Statistical Inference
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Two Independent Means: Add Variances, Keep the Populations ClearReading · Statistical Inference
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Choose the Inference Method from the Question and the DesignReading · Statistical Inference
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Estimating a Proportion: Confidence, Precision and a Population Claim \u2014 Solutions and RubricsSupporting reading · Statistical Inference
Separate worked answers and task-specific rubrics.
- Testing a Proportion: What Would Happen Under the Null? \u2014 Solutions and RubricsSupporting reading · Statistical Inference
Separate worked answers and task-specific rubrics.
- Errors and Power: Detecting a Difference Without Claiming Certainty \u2014 Solutions and RubricsSupporting reading · Statistical Inference
Separate worked answers and task-specific rubrics.
- Two Proportions: Estimate Separately, Test a Common Null \u2014 Solutions and RubricsSupporting reading · Statistical Inference
Separate worked answers and task-specific rubrics.
- Two-Way Tables: Homogeneity and Independence \u2014 Solutions and RubricsSupporting reading · Statistical Inference
Separate worked answers and task-specific rubrics.
- One Mean and Paired Differences: A Complete t Investigation \u2014 Solutions and RubricsSupporting reading · Statistical Inference
Separate worked answers and task-specific rubrics.
- Two Independent Means: Add Variances, Keep the Populations Clear \u2014 Solutions and RubricsSupporting reading · Statistical Inference
Separate worked answers and task-specific rubrics.
- Choose the Inference Method from the Question and the Design \u2014 Solutions and RubricsSupporting reading · Statistical Inference
Separate worked answers and task-specific rubrics.
- Section I Multiple Choice Questions in Test 1Reading · AP® Practice Tests
- Section II Response Questions in Test 1Reading · AP® Practice Tests
- Fall 2026 Rehearsal — Section I: Multiple ChoiceReading · AP® Practice Tests
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Fall 2026 Rehearsal — Section II: Free ResponseReading · AP® Practice Tests
Current Fall 2026 teaching and independent application alongside the preserved source chapter.
- Fall 2026 Rehearsal — Multiple-Choice Worked AnswersSupporting reading · AP® Practice Tests
Separate worked answers and task-specific rubrics.
- Fall 2026 Rehearsal — Free-Response Worked Answers and RubricsSupporting reading · AP® Practice Tests
Separate worked answers and task-specific rubrics.