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🎲 Probability Distributions Lab: Inverse-CDF Sampling, Moments and the KS Test

Turn uniform random numbers into eight probability distributions with the inverse-CDF method, then test the samples against theory: moments, Kolmogorov-Smirnov, chi-square, an independent sampler and the central limit theorem.

Probability & Statistics2DModerate60 FPS📱 Mobile-adapted
probability-distributions-inverse-cdf-transform-sampling-moments-ks-test-lab ↗ Open standalone
⚙ Under the hood

Turn uniform random numbers into eight probability distributions with the inverse-CDF method, then test the samples against theory: moments, Kolmogorov-Smirnov, chi-square, an independent sampler and the central limit theorem.

Probability DistributionsInverse Transform SamplingKolmogorov-SmirnovCentral Limit TheoremCanvas

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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