The central limit theorem states that if the sample size,n,is sufficiently large,the sampling distribution of the means will be approximately normal,even when the population is skewed or uniform.

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The statement accurately reflects the central limit theorem, which tells us that as the sample size increases, the distribution of sample means becomes more normal, regardless of the shape of the population distribution.

The Central Limit Theorem States That If the Sample Size,n,is