As the size of the sample increases, what happens to the shape of the sampling means?
A) Cannot be predicted in advance
B) Approaches a normal distribution
C) Positively skewed
D) Negatively skewed
E) None of the choices are correct

Question

Quizplus · Accepted Answer

As the sample size increases, the Central Limit Theorem states that the distribution of the sample means will approach a normal distribution, regardless of the shape of the population distribution.

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