The Central Limit Theorem states that the sampling distribution of the mean will be approximately normal provided that the sample size is greater than 30.

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The statement is true. The Central Limit Theorem applies when the sample size is large enough (generally considered to be greater than 30) and the population distribution is not extremely skewed or has outliers. This allows the sampling distribution of the mean to be approximated by a normal distribution.

The Central Limit Theorem States That the Sampling Distribution of the Mean