The Central Limit Theorem guarantees that the population is normal whenever n is sufficiently
large.

Name: The Central Limit Theorem guarantees that the population is normal whenever n is sufficiently large.
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The Central Limit Theorem states that the sampling distribution of the sample mean will approach a normal distribution as the sample size n becomes large, regardless of the shape of the population distribution. It does not guarantee that the population itself is normal.

The Central Limit Theorem Guarantees That the Population Is Normal