Kizspy | Question: 39
(Choose 1 answer)
What does the Central Limit Theorem (CLT) imply for large sample sizes?
A. Sample distribution becomes non-random
B. Sample distribution approaches normality
C. Sampling is unnecessary
D. Population mean equals zero
E. Sample distribution becomes skewed
