Mathematics·Advanced Placement
APStatistics
AP Statistics: Learn data analysis and statistical methods to prepare for the AP Exam in May.
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
Exploring One-Variable Data
Exploring Two-Variable Data
Collecting Data
Probability, Random Variables, and Probability Distributions
Sampling Distributions
Inference for Categorical Data: Proportions
Inference for Quantitate Data: Means
Inference for Categorical Data: Chi-Square
Inference for Quantitate Data: Slopes
Earn your 1.0 credit in Statistics
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