Central Limit Theorem Simulator
Draw samples from any population shape — even wildly non-normal ones — and watch the distribution of sample means organize itself into a bell. Covers §6.11.
Sampling Experiment
Histogram of the k sample means x̄. FIG. T36-1
The CLT's promise: whatever the population looks like, the sampling distribution of x̄ approaches Normal(μ, σ/√n) as n grows. The simulator lets you check both claims — the bell shape and the σ/√n shrinkage — against theory, live.