AP · Mathematics · The Cushman School

AP Statistics

The Cushman School — Miami, FL

Updated for Fall 2026 — five units covering data exploration, probability, and statistical inference, aligned with the College Board's redesigned Course and Exam Description.

About the Course

AP Statistics is organized into five units: exploring one-variable data and collecting data, probability and distributions, inference for proportions, inference for means, and regression analysis. The course is equivalent to a first-semester undergraduate statistics course and prepares students for the College Board AP exam.

Students learn to think statistically — not just mechanically apply formulas. We work with real datasets throughout, and students develop proficiency in Python and R alongside classical techniques. Every inference procedure is grounded in careful study design and honest interpretation.

  • Produce and interpret graphical and numerical summaries of distributions
  • Design and critically evaluate studies, experiments, and simulations
  • Apply probability rules and model random phenomena
  • Construct confidence intervals and perform significance tests
  • Communicate statistical results in plain language with appropriate uncertainty

Units

Unit 1

Exploring One-Variable Data and Collecting Data

Categorical and quantitative data displays; shape, center, spread, and outliers; sampling methods, bias, and experimental design.

Unit 2

Probability, Random Variables, and Probability Distributions

Two-way tables; probability rules; conditional probability; random variables; binomial and Normal distributions; sampling distributions and the Central Limit Theorem.

Unit 3

Inference for Categorical Data: Proportions

Confidence intervals and tests for one and two proportions; Type I and II errors; chi-square tests for homogeneity and independence.

Unit 4

Inference for Quantitative Data: Means

t-procedures for one mean, paired means, and two independent means; conditions and interpretation for each inference method.

Unit 5

Regression Analysis

Scatterplots; correlation; linear regression models; residuals and residual analysis; interpretation of slope, intercept, and r².

Based on the AP Statistics Course and Exam Description, effective Fall 2026.

Tools & Technology

Python R / RStudio pandas matplotlib scipy.stats TI-84 Desmos Jupyter Notebooks AP Classroom