Mathematics·Advanced Placement

APStatistics

AP Statistics: Learn data analysis and statistical methods to prepare for the AP Exam in May.

1.0 CreditGrades 11–12100% OnlineSelf-Paced9 ModulesAdvanced Placement
AP

Built for the AP Exam

Every module sharpens the skills the College Board® tests. Sit the exam in May to earn potential college credit before you graduate.

About the course

Course Overview

AP Statistics introduces students to the principles and practices of collecting, analyzing, and interpreting data, providing a strong foundation in statistical reasoning and problem-solving. This course covers key concepts such as data collection, probability, sampling, experimentation, and statistical inference. Through hands-on projects, students learn how to design studies, analyze patterns, and draw meaningful conclusions from real-world data.

Throughout the course, students gain experience with graphical and numerical methods for describing data, developing skills to assess the reliability and validity of conclusions. They explore topics such as correlation and regression, the Normal distribution, confidence intervals, and hypothesis testing, building a toolkit of statistical techniques that can be applied across fields, from science and social studies to business and engineering.

Designed to prepare students for the AP Exam in May, AP Statistics equips learners with critical analytical skills and a solid understanding of how data informs decisions. This course is ideal for students interested in fields like mathematics, economics, biology, psychology, and any discipline that relies on data-driven insights. By the end of the course, students will have a strong grasp of statistical methods and their applications, preparing them for further studies and practical data analysis in everyday life.

This course has been authorized by the College Board to use the AP designation.

By the end of the course

Learning Objectives

  • 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

Course contents

What You'll Study

01Module

Exploring One-Variable Data

02Module

Exploring Two-Variable Data

03Module

Collecting Data

04Module

Probability, Random Variables, and Probability Distributions

05Module

Sampling Distributions

06Module

Inference for Categorical Data: Proportions

07Module

Inference for Quantitate Data: Means

08Module

Inference for Categorical Data: Chi-Square

09Module

Inference for Quantitate Data: Slopes

Earn your 1.0 credit in Statistics

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