Explore data distributions, run hypothesis tests, fit regression models, and interpret results with interactive visualization tools.
Analyze DataVisualize normal, binomial, t, chi-square, and F distributions with adjustable parameters.
Set up and run one-sample, two-sample, and paired hypothesis tests with visual p-value displays.
Fit linear and nonlinear models, calculate residuals, check conditions, and interpret coefficients.
Run thousands of trials of random experiments to observe empirical vs. theoretical probabilities.
Calculate and interpret measures of center, spread, and position. Create histograms, boxplots, scatterplots, and stem-and-leaf displays.
Study probability rules, combinatorics, binomial distribution, normal distribution, sampling distributions, and the Central Limit Theorem.
Conduct confidence intervals and hypothesis tests for proportions, means, and slopes. Perform chi-square tests and ANOVA with real data.
Running 10,000 simulations and watching the sampling distribution form was the best way to learn the CLT.Instructor Davis, AP Stats
Momentum made statistics visual instead of just formulas. I actually understand inference now.Zoe L., Grade 12