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AP® Statistics
The AP Statistics course introduces students to the major concepts and tools for collecting, analyzing,anddrawingconclusionsfromdata.Therearefourthemesevidentinthe content, skills, and assessment in the AP Statistics course: exploring data, sampling and experimentation, probability and simulation, and statistical inference. Students use technology, investigations, problem solving, and writing as they build conceptual understanding.
What is included
9 units and 77 lessons of AP® Statistics, free to start in Stellar at your own pace.
9Units
77Lessons
Units
9 units in AP® Statistics
- 01Exploring One-Variable DataThis unit examines data about a single variable. Students learn to identify types of variables, create and interpret graphical and numerical summaries, describe distributions, and apply the normal distribution model.10 lessonsPreview unit
- 02Exploring Two-Variable DataThis unit explores relationships between two variables. Students analyze associations in categorical data, create and interpret scatterplots, calculate and interpret correlation and linear regression, and assess the fit of regression models.9 lessonsPreview unit
- 03Collecting DataThis unit focuses on how data is collected and the methods used to plan studies. Students learn about sampling methods, experimental design, sources of bias, and how to draw valid conclusions from different study designs.7 lessonsPreview unit
- 04Probability, Random Variables, and Probability DistributionsThis unit covers the foundations of probability, random variables, and their distributions. Students learn probability rules, conditional probability, independence, and special distributions including binomial and geometric.12 lessonsPreview unit
- 05Sampling DistributionsThis unit develops the concept of sampling distributions and the Central Limit Theorem — the theoretical foundation for all statistical inference. Students learn how sample statistics vary from sample to sample and what that variability tells us about population parameters.8 lessonsPreview unit
- 06Inference for Categorical Data: ProportionsThis unit introduces statistical inference — the process of drawing conclusions about population parameters from sample data. Students learn to construct confidence intervals and conduct hypothesis tests for population proportions and differences in proportions using the z-distribution.11 lessonsPreview unit
- 07Inference for Quantitative Data: MeansThis unit applies inference methods to quantitative data using the t-distribution — appropriate when the population standard deviation is unknown. Students construct confidence intervals and conduct hypothesis tests for population means and differences in means using t-procedures.9 lessonsPreview unit
- 08Inference for Categorical Data: Chi-SquareThis unit extends inference to categorical data with multiple categories, using the chi-square distribution. Students conduct goodness-of-fit tests to compare observed distributions to expected distributions, and tests for homogeneity and independence using two-way tables.6 lessonsPreview unit
- 09Inference for Quantitative Data: SlopesThis unit applies inference to the slope of a linear regression model — the final inference topic on the AP Statistics exam. Students learn to test whether a linear relationship exists between two quantitative variables and construct confidence intervals for the population slope.5 lessonsPreview unit
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