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Mathematics

Central Limit Theorem

Quick fact

The Central Limit Theorem works even if the original data is skewed, bimodal, or completely non-normal; the sample means become normally distributed with enough observations.

Why this is interesting

Imagine rolling a die: the outcomes are uniformly random, each number equally likely. But what happens when you roll it 30 times and average the results? Do that many times, and something surprising emerges.