AP Statistics
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Practice for the AP Statistics exam
AP Exam
Tuesday, May 11, 2027
12 p.m. local time (afternoon session)
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Unit 1: Exploring One-Variable Data and Collecting Data
- 1.1 - Introducing Statistics: What Can We Learn from Data?
- 1.2 - Variables
- 1.3 - Tabular Representation and Summary Statistics for One Categorical Variable
- 1.4 - Graphical Representations for One Categorical Variable
- 1.5 - Graphical Representations for One Quantitative Variable
- 1.6 - Descriptions for One Quantitative Variable Distributions
- 1.7 - Summary Statistics for One Quantitative Variable
- 1.8 - Graphical Representations of Summary Statistics for One Quantitative Variable
- 1.9 - Comparisons of the Distributions for One Quantitative Variable
- 1.10 - The Investigative Question Revisited and Data Collection
- 1.11 - Random Sampling
- 1.12 - Potential Problems with Sampling
- 1.13 - Experimental Design
Unit 2: Probability, Random Variables, and Probability Distributions
- 2.1 - Tabular and Graphical Representations for the Distributions of Two Categorical Variables
- 2.2 - Summary Statistics for Two Categorical Variables
- 2.3 - Estimating Probabilities Using Simulation
- 2.4 - Introduction to Probability
- 2.5 - Mutually Exclusive Events
- 2.6 - Conditional Probability
- 2.7 - Independent Events and Unions of Events
- 2.8 - Introduction to Random Variables and Probability Distributions
- 2.9 - Parameters of Random Variables
- 2.10 - The Binomial Distribution
- 2.11 - The Normal Distribution
- 2.12 - Sampling Distributions and the Central Limit Theorem
Unit 3: Inference for Categorical Data: Proportions
- 3.1 - Estimators
- 3.2 - Sampling Distributions for Sample Proportions
- 3.3 - Constructing a Confidence Interval for a Population Proportion
- 3.4 - Justifying a Claim Based on a Confidence Interval for a Population Proportion
- 3.5 - Setting Up a Test for a Population Proportion
- 3.6 - p-Values
- 3.7 - Carrying Out a Test for a Population Proportion
- 3.8 - Potential Errors When Performing Tests
- 3.9 - Sampling Distributions for the Difference Between Sample Proportions
- 3.10 - Constructing a Confidence Interval for the Difference Between Two Population Proportions
- 3.11 - Justifying a Claim Based on a Confidence Interval for the Difference Between Two Population Proportions
- 3.12 - Setting Up a Test for the Difference Between Two Population Proportions
- 3.13 - Carrying Out a Test for the Difference Between Two Population Proportions
- 3.14 - Setting Up a Chi-Square Test for Homogeneity or Independence
- 3.15 - Carrying Out a Chi-Square Test for Homogeneity or Independence
Unit 4: Inference for Quantitative Data: Means
- 4.1 - Sampling Distributions for Sample Means
- 4.2 - Constructing a Confidence Interval for a Population Mean or Population Mean Difference
- 4.3 - Justifying a Claim Based on a Confidence Interval for a Population Mean or Population Mean Difference
- 4.4 - Setting Up a Test for a Population Mean or Population Mean Difference
- 4.5 - Carrying Out a Test for a Population Mean or Population Mean Difference
- 4.6 - Sampling Distributions for the Difference Between Two Sample Means
- 4.7 - Constructing a Confidence Interval for the Difference Between Two Population Means
- 4.8 - Justifying a Claim Based on a Confidence Interval for the Difference Between Two Population Means
- 4.9 - Setting Up a Test for the Difference Between Two Population Means
- 4.10 - Carrying Out a Test for the Difference Between Two Population Means