3. What does the Central Limit Theorem state?

(A) The sampling distribution of the sample mean approaches a normal distribution as

the sample size increases, regardless of the population distribution.

(B) The sample mean is always equal to the population mean.

(C) The Central Limit Theorem only applies to populations with a normal distribution.

(D) The sample size must be small for the theorem to apply.

(E) The population mean is always equal to the sample mean.