As the size of the sample increases,what happens to the shape of the sampling distribution of sample means?
A)It becomes positively skewed.
B)It becomes negatively skewed.
C)It becomes uniformly distributed.
D)It becomes approximately normal.

Question

Quizplus · Accepted Answer

This is known as the Central Limit Theorem, which states that as the sample size increases, the sampling distribution of sample means will become approximately normal, regardless of the shape of the population distribution.

As the Size of the Sample Increases,what Happens to the Shape