The central limit theorem states that, for any distribution, as n gets larger, the sampling distribution: A. becomes larger. B. approaches a normal distribution. C. approaches the mean.
As n gets larger, the variance of the distribution of sample means is reduced, and the distribution of sample means approximates a normal distribution.
