An implication of the central limit theorem is that the sampling distribution of the mean can be approximated by a _____ distribution when the sample size is sufficiently _____.
A)normal;large
B)normal;small
C)binomial;small
D)binomial;large

Question

Quizplus · Accepted Answer

The central limit theorem implies that the sampling distribution of the mean approaches a normal distribution as the sample size increases. Therefore, the correct answer is A, which states that the sampling distribution can be approximated by a normal distribution when the sample size is sufficiently large.

An Implication of the Central Limit Theorem Is That the Sampling