AP Statistics
Explore data, design experiments and run inference with animated sampling distributions.
Redesigned for 2026-27 — read this first
AP Statistics was redesigned for 2026-27. The material below follows the previous nine-unit framework.
- ·The course was reorganized from nine units into five.
- ·Some topics were removed, and the old Unit 9 (inference for slopes) is not a unit of its own in the new framework.
- ·The exam moves fully digital for May 2027, with 42 multiple-choice questions of four options each.
Our 36 lessons, 181 flashcards and 6 free-response prompts are still organized against the nine-unit version. The statistics itself has not changed — a confidence interval is a confidence interval — so the material is still worth studying. What is out of date is how it is grouped, and which topics are still examinable. We are not rebuilding it from secondary sources that disagree with each other; it will be rewritten against the official framework.
We have not been able to read the official framework directly, so treat the summary above as our best understanding and confirm it yourself — AP Central is the authority.
Exploring One-Variable Data and Collecting Data
- Describing Distributions13 min · 3 objectives
- Summary Statistics: Center & Spread14 min · 3 objectives
- The Normal Model & z-Scores14 min · 3 objectives
- Outliers & Boxplots12 min · 3 objectives
- Comparing Distributions: What a Complete Comparison Requires14 min · 3 objectives
- Transformations: What Shifting and Scaling Do14 min · 3 objectives
- Density Curves, Percentiles & Cumulative Plots14 min · 3 objectives
Probability, Random Variables, and Probability Distributions
Inference for Categorical Data: Proportions
- Sampling Methods13 min · 3 objectives
- Experiments & Their Design15 min · 3 objectives
- Bias in Data Collection12 min · 3 objectives
- Randomization, Blocking & Scope of Conclusions13 min · 3 objectives
- Bias and Variability Are Different Problems14 min · 3 objectives
- Matched Pairs & Why Pairing Beats Two Independent Groups14 min · 3 objectives
Inference for Quantitative Data: Means
- Probability Rules14 min · 3 objectives
- Random Variables: Mean & Variance14 min · 3 objectives
- The Binomial Distribution15 min · 3 objectives
- The Geometric Distribution13 min · 3 objectives
- Conditional Probability, Trees & the Rare-Disease Trap14 min · 3 objectives
- Combining Random Variables: Means Always Add, Variances Do Not14 min · 3 objectives
Regression Analysis
- Sampling Distributions & Variability13 min · 3 objectives
- The Sampling Distribution of a Sample Mean15 min · 3 objectives
- The Sampling Distribution of a Sample Proportion14 min · 3 objectives
- Differences & the Big Picture of Variability13 min · 3 objectives
- Three Distributions That Are Easy to Confuse14 min · 3 objectives
- Why n ≥ 30 Is a Rule of Thumb, Not a Theorem14 min · 3 objectives