The central limit theorem suggests that the entire distribution of differences between pairs of successively drawn sample means will approximate normality.

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This is a true statement about the central limit theorem. The theorem states that the sampling distribution of the mean (or difference between means) will approach a normal distribution as sample size increases.

The Central Limit Theorem Suggests That the Entire Distribution of Differences