The distribution of a characteristic is negatively skewed. The sampling distribution of the mean for large samples is:

Question

Quizplus · Accepted Answer

When sample size is large, the Central Limit Theorem states that the distribution of sample means will be approximately normal regardless of the underlying distribution of the characteristic. Therefore, the sampling distribution of the mean will be approximately normal even if the original distribution is negatively skewed.

The Distribution of a Characteristic Is Negatively Skewed