๐Ÿ“Š

AP Statistics

Learn data analysis, probability, and statistical inference.

โ† Back to AP Courses

Course Overview

AP Statistics introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Students explore statistics through discussion and activities, and they design, administer, and tabulate results from surveys and experiments.

Study Materials

Notes, formula sheets, and study guides for AP Statistics.

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.

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.

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.

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.