Suppose X has a distribution that is not normal. The Central Limit Theorem is important in this case because:
A)it says the sampling distribution of is approximately normal for any sample size.
B)it says the sampling distribution of is approximately normal if n is large enough.
C)it says the sampling distribution of is exactly normal, for any sample size.
D)None of these choices.

Question

Suppose X has a distribution that is not normal. The Central Limit Theorem is important in this case because:
A)it says the sampling distribution of is approximately normal for any sample size. 
B)it says the sampling distribution of is approximately normal if n is large enough. 
C)it says the sampling distribution of is exactly normal, for any sample size. 
D)None of these choices.

Quizplus · Accepted Answer

The Answer of Suppose X has a distribution that is not normal. The Central Limit Theorem is important in this case because:
A)it says the sampling distribution of is approximately normal for any sample size. 
B)it says the sampling distribution of is approximately normal if n is large enough. 
C)it says the sampling distribution of is exactly normal, for any sample size. 
D)None of these choices.

Suppose X Has a Distribution That Is Not Normal