Holding all else constant, as sample size increases, the sampling distribution of the mean ______.
A) becomes flatter
B) has greater variability
C) becomes skewed
D) becomes more peaked

Question

Quizplus · Accepted Answer

As sample size increases, the sampling distribution of the mean becomes more peaked, meaning it becomes more closely centered around the true population mean. This is due to the Central Limit Theorem, which states that as sample size increases, the sampling distribution of the mean becomes more normally distributed.

Holding All Else Constant, as Sample Size Increases, the Sampling