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AP Statistics: Practice Questions, Units, and Exam Format

Exploring data, sampling, probability, and inference. See exactly what is on the exam, unit by unit, and practise it with a tutor that adapts to you.

Exam format

Structure of the AP Statistics exam, from the official course and exam description.
SectionQuestionsTimeShare of score
Section I: Multiple Choice421 hr 30 min50%
Section II: Free Response41 hr 30 min50%

Units and exam weights

The 5 units of AP Statistics, with the exam weight published for each.
UnitExam weightTopics covered
Exploring One-Variable Data and Collecting Data20 to 30%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
Probability, Random Variables, and Probability Distributions15 to 25%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
Inference for Categorical Data: Proportions15 to 25%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
Inference for Quantitative Data: Means10 to 20%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
Regression Analysis10 to 20%5.1 Graphical Representations Between Two Quantitative Variables, 5.2 Correlation, 5.3 Linear Regression Models, 5.4 Residuals, 5.5 Least-Squares Regression

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