The Central Limit Theorem states that as sample size increases, the population distribution more closely approximates a normal distribution.

Name: The Central Limit Theorem states that as sample size increases, the population distribution more closely approximates a normal distribution.
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If the sample size is large, then the sampling distribution of the sample mean is approximately normal, even if the sampled population is not normally distributed.

The Central Limit Theorem States That as Sample Size Increases