The central limit theorem states that if the sample size is sufficiently large,then the sampling distribution of the sample ________ is approximately normal,even if the sampled population is not normally distributed.
A)median
B)mode
C)standard deviation
D)variance
E)mean

Question

Quizplus · Accepted Answer

The central limit theorem states that the sampling distribution of the sample mean is approximately normal, even if the population is not normally distributed, as long as the sample size is sufficiently large (usually considered to be 30 or greater). The theorem does not apply to other statistical measures such as the median, mode, standard deviation or variance.

The Central Limit Theorem States That If the Sample Size