🎲 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
⚙ 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