As the size of the sample increases, what happens to the shape of the distribution of sample means?
A) It cannot be predicted in advance.
B) It approaches a normal distribution.
C) It is positively skewed.
D) It is negatively skeweD.

Question

Quizplus · Accepted Answer

According to the central limit theorem, as the sample size increases, the distribution of sample means approaches a normal distribution regardless of the shape of the population distribution.

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