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.