AP Statistics - Study Guides, Flashcards, AP-style Practice & Mock Exams

The exam has two 90-minute sections of equal weight. You will first complete a 40-question multiple-choice section, followed by a six-question free-response section that requires you to communicate statistical methods, definitions, and conclusions effectively.

We recommend a sequential approach to master the ~31 hours of content. Work through the 9 units and 80 topics, then test your knowledge with AP-style quizzes and unit exams before attempting the full-length mock exams to gauge your readiness.

A graphing calculator is required for both the multiple-choice and free-response sections. You should be proficient with its functions for statistical calculations, such as finding regression models, and for creating graphical displays like histograms or scatterplots.

The FRQ section contains six questions to be answered in 90 minutes. It includes five standard free-response questions and one longer, more complex "Investigative Task" designed to assess your ability to integrate multiple skills and concepts.

You will learn to collect, analyze, and draw conclusions from data. Key skills include describing patterns, planning and conducting studies using proper sampling techniques, exploring random phenomena using probability, and employing statistical inference to justify conclusions.

No, you will be provided with a formula sheet and statistical tables. This resource includes key formulas for probability, descriptive statistics, and inference procedures like confidence intervals and hypothesis testing, allowing you to focus on application.

Statistical inference is the practice of using data from a sample to draw conclusions about a larger population. This is a core component of the course, encompassing two primary methods you will master: constructing confidence intervals and performing hypothesis testing.

This course provides extensive practice to build your confidence and skills. You can test your understanding with 523 practice questions and 1087 flashcards, then simulate the exam experience with three full-length mock exams designed to mirror the official test.

Regression is a statistical method used to model and analyze the relationship between a response variable and one or more explanatory variables. In this course, you will learn to create and interpret linear regression models, assess their fit, and use them for prediction.

The course is organized around four major conceptual themes. You will progress from exploring data and designing studies through sampling, to understanding probability and randomness, and finally to making data-driven conclusions using statistical inference across the course's nine units.