The central limit theorem (CLT)states that the sampling distribution of the mean is approximately normal,no matter what the distribution of the population,as long as the sample size is large enough.

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The central limit theorem indeed states that the sampling distribution of the sample mean will approximate a normal distribution as the sample size becomes large, regardless of the population's distribution shape.

The Central Limit Theorem (CLT)states That the Sampling Distribution of the Mean