← BACK TO LIBRARY

AP Statistics

Explore distributions, hypothesis testing, regression, and probability with interactive AP Statistics visualizations.

7 visualizationsFree & interactiveNo login required
Normal Distribution Explorer visualization thumbnail
AP STATISTICS

Normal Distribution Explorer

Adjust mean and standard deviation to see how the normal distribution bell curve shifts and stretches. Shade probability regions to compute areas under the curve and connect z-scores to percentiles.

Central Limit Theorem visualization thumbnail
AP STATISTICS

Central Limit Theorem

Watch the Central Limit Theorem emerge in real time. Choose uniform, right-skewed, bimodal, or normal populations, set sample size n, and take samples one-by-one or in bulk. The sampling distribution of x̄ converges to a bell curve regardless of population shape — see it happen live.

Confidence Interval Simulator visualization thumbnail
AP STATISTICS

Confidence Interval Simulator

Simulate hundreds of confidence intervals and watch the coverage rate converge to the chosen confidence level. Adjust μ, σ, n, and confidence level (90/95/99%). Green bars capture the true mean; red bars miss it. Builds intuition for the correct long-run interpretation of CIs.

Scatter Plot & Correlation visualization thumbnail
AP STATISTICS

Scatter Plot & Correlation

Build scatter plots by clicking the canvas or loading preset datasets (strong positive, strong negative, moderate, none, outlier). Pearson r and r² update live. Toggle regression line, residuals, and 95% ellipse. A color-coded gauge maps r from −1 to +1. Observe how outliers distort r.

Binomial Distribution visualization thumbnail
AP STATISTICS

Binomial Distribution

Explore B(n, p) via PMF bars, CDF, or live simulation. Adjust n (1–60), p (0.01–0.99), and highlight any k to see P(X = k), P(X ≤ k), and other tail probabilities. Normal approximation curve overlaid for large n. Simulation mode runs up to 2000 trials and compares empirical vs theoretical.

Least-Squares Regression Line visualization thumbnail
AP STATISTICS

Least-Squares Regression Line

Generate data with a controlled true slope β and noise σ. The LSRL is computed live with slope b, intercept a, r, r², and SE(b). Toggle residuals on the scatter plot, then switch to the residual plot tab to check model fit. Add an influential outlier to see how it shifts the regression line.

Hypothesis Testing visualization thumbnail
AP STATISTICS

Hypothesis Testing

Visualize three test types: z-test for proportions, t-test for means, and χ²-test. Adjust the test statistic parameters, choose α (0.01/0.05/0.10), and select one- or two-tailed Hₐ. The rejection region (red), p-value shading, and critical values update live. Decision badge shows REJECT H₀ or FAIL TO REJECT.