According to the Central Limit Theorem, if is the mean of a simple random sample taken from a large population, and if the N population values are not normally distributed, the sampling distribution of
nevertheless approaches a normal distribution when n
30 and also n < 0.05N, because these values make the approximation almost perfect.
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