📊 Central Limit Theorem (2D)

Sample-mean histogram · Bell-curve convergence

Parameters

Source distribution Sample size n — 30 Auto-draw speed — medium

Auto-draw continuously

Stats

Samples drawn0

Mean of means–

Std of means–

Theoretical µ–

Theoretical σ/√n–

Normal fit match–

Choose a source distribution, set n, and press "Draw samples" (or turn on auto-draw). Each draw takes n random values and computes their mean. As thousands of such means accumulate, a normal bell curve emerges — no matter the shape of the original distribution.