If the sample size is greater than 30,the Central Limit Theorem (CLT)will always guarantee that the sampling distribution of the sample mean is approximately normal.

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The Central Limit Theorem states that the sampling distribution of the sample mean will be approximately normal if the sample size is sufficiently large, typically n > 30, but this is not a strict rule and depends on the underlying population distribution.

If the Sample Size Is Greater Than 30,the Central Limit