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Hace 23 horas · In probability theory, the central limit theorem (CLT) states that, under appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normal distribution.This holds even if the original variables themselves are not normally distributed.There are several versions of the CLT, each applying in the context of different conditions.