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About the Course

Statistics are a part of everyday life. You can see them in AI models, news polls, popular music rankings, and medical research. Discover how the statistics you see every day are developed and learn how to evaluate their credibility for yourself in AP Statistics.

Skills You'll Learn

Selecting methods for collecting or analyzing data
Describing patterns, trends, associations, and relationships in data
Using probability and simulation to describe probability distributions and define uncertainty in statistical inference
Using statistical reasoning to draw appropriate conclusions and justify claims

Equivalency and Prerequisites

College Course Equivalent

A one-semester, introductory, non-calculus-based college course in statistics

Recommended Prerequisites

A second-year course in algebra

Exam Date

Thu, May 8, 2025

8 AM Local

AP Statistics Exam

This is the regularly scheduled date for the AP Statistics Exam.

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About the Units

The course content outlined below is organized into commonly taught units of study that provide one possible sequence for the course. Your teacher may choose to organize the course content differently based on local priorities and preferences.

Course Content

Unit 1: Exploring One-Variable Data

You’ll be introduced to how statisticians approach variation and practice representing data, describing distributions of data, and drawing conclusions based on a theoretical distribution.

Unit 2: Exploring Two-Variable Data

You’ll build on what you’ve learned by representing two-variable data, comparing distributions, describing relationships between variables, and using models to make predictions.

Topics may include:

Comparing representations of 2 categorical variables
Calculating statistics for 2 categorical variables
Representing bivariate quantitative data using scatter plots
Describing associations in bivariate data and interpreting correlation
Linear regression models
Residuals and residual plots
Departures from linearity

On The Exam

5%–7% of Score

Unit 3: Collecting Data

You’ll be introduced to study design, including the importance of randomization. You’ll understand how to interpret the results of well-designed studies to draw appropriate conclusions and generalizations.

Unit 4: Probability, Random Variables, and Probability Distributions

You’ll learn the fundamentals of probability and be introduced to the probability distributions that are the basis for statistical inference.

Unit 5: Sampling Distributions

As you build understanding of sampling distributions, you’ll lay the foundation for estimating characteristics of a population and quantifying confidence.

Unit 6: Inference for Categorical Data: Proportions

You’ll learn inference procedures for proportions of a categorical variable, building a foundation of understanding of statistical inference, a concept you’ll continue to explore throughout the course.

Topics may include:

Constructing and interpreting a confidence interval for a population proportion
Setting up and carrying out a test for a population proportion
Interpreting a p-value and justifying a claim about a population proportion
Type I and Type II errors in significance testing
Confidence intervals and tests for the difference of 2 proportions

On The Exam

12%–15% of Score

Unit 7: Inference for Quantitative Data: Means

Building on lessons learned about inference in Unit 6, you’ll learn to analyze quantitative data to make inferences about population means.

Topics may include:

Constructing and interpreting a confidence interval for a population mean
Setting up and carrying out a test for a population mean
Interpreting a p-value and justifying a claim about a population mean
Confidence intervals and tests for the difference of 2 population means

On The Exam

10%–18% of Score

Unit 8: Inference for Categorical Data: Chi-Square

You’ll learn about chi-square tests, which can be used when there are two or more categorical variables.

Unit 9: Inference for Quantitative Data: Slopes

You’ll understand that the slope of a regression model is not necessarily the true slope but is based on a single sample from a sampling distribution, and you’ll learn how to construct confidence intervals and perform significance tests for this slope.

Course Resources

Link

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AP Statistics Course and Exam Description

This is the core document for the course. It clearly lays out the course content and describes the exam and the AP Program in general.

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AP Statistics

Not a Student?

AP Statistics

About the Course

Skills You'll Learn

Equivalency and Prerequisites

College Course Equivalent

Recommended Prerequisites

Exam Date

AP Statistics Exam

About the Units

Course Content

Unit 1: Exploring One-Variable Data

Unit 2: Exploring Two-Variable Data

Unit 3: Collecting Data

Unit 4: Probability, Random Variables, and Probability Distributions

Unit 5: Sampling Distributions

Unit 6: Inference for Categorical Data: Proportions

Unit 7: Inference for Quantitative Data: Means

Unit 8: Inference for Categorical Data: Chi-Square

Unit 9: Inference for Quantitative Data: Slopes

Search AP Credit Policies

Course Resources

AP Classroom Resources

AP Statistics Course and Exam Description

Additional Information

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AP Statistics

Not a Student?

AP Statistics

About the Course

Skills You'll Learn

Equivalency and Prerequisites

College Course Equivalent

Recommended Prerequisites

Exam Date

AP Statistics Exam

About the Units

Course Content

Unit 1: Exploring One-Variable Data

Unit 2: Exploring Two-Variable Data

Unit 3: Collecting Data

Unit 4: Probability, Random Variables, and Probability Distributions

Unit 5: Sampling Distributions

Unit 6: Inference for Categorical Data: Proportions

Unit 7: Inference for Quantitative Data: Means

Unit 8: Inference for Categorical Data: Chi-Square

Unit 9: Inference for Quantitative Data: Slopes

Search AP Credit Policies

Course Resources

AP Classroom Resources

AP Statistics Course and Exam Description

See Where AP Can Take You

Additional Information