Showing 4 results
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
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.
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
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.