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📊 Central Limit Theorem (2D)

A 2D Canvas demonstration of the Central Limit Theorem: draw repeated random samples from a Uniform, Exponential, Bimodal, Poisson or Right-Skewed source distribution and watch a live histogram of sample means converge toward a normal bell curve.

Probability & Statistics2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-central-limit-theorem ↗ Open standalone
⚙ Under the hood

Draw repeated random samples from a Uniform, Exponential, Bimodal, Poisson or Right-Skewed distribution and watch a live 2D histogram of sample means converge toward a normal bell curve as the sample size grows.

probabilitystatisticscentral-limit-theoremhistogramcanvas2d

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

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