The sampling distribution can be assumed to be approximately normal even when the underlying process distribution is not normally distributed.

Name: The sampling distribution can be assumed to be approximately normal even when the underlying process distribution is not normally distributed.
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According to the Central Limit Theorem, the sampling distribution of the sample mean will approximate a normal distribution as the sample size becomes large, regardless of the shape of the population distribution.

The Sampling Distribution Can Be Assumed to Be Approximately Normal