If the sampled population distribution is skewed,then in most cases the sampling distribution of the sample mean $\bar { x }$ can be approximated by the normal distribution if the sample size n is at least 30.

Question

Quizplus · Accepted Answer

According to the Central Limit Theorem, regardless of the shape of the underlying population, the sampling distribution of the sample mean will become approximately normal if the sample size is large enough (usually n ≥ 30 is considered sufficient for most practical purposes).

If the Sampled Population Distribution Is Skewed,then in Most Cases xˉ\bar { x }xˉ

If the Sampled Population Distribution Is Skewed,then in Most Cases $\bar { x }$