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Lecture
Central Limit Theorem
Description
This lecture introduces the central limit theorem, stating that in the limit of large n, every random process converges to a normal distribution. It explains how random variables converge to a normal distribution, regardless of their original distribution, and demonstrates this concept through various examples and simulations.
Official source
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