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1. The Central Limit Theorem is important in statistics because:
a. For n large, it says the distribution of the sample mean is approximately normal, regardless of the shape of the population.
b. For any sample size, it says the sampling distribution of the sample mean is approximately normal.
c. For n large, it says the distribution of the sample mean is exactly normal, regardless of the shape of the population.
d. For any sample size, it says the sampling distribution of the sample mean is exactly normal
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