According to the Central Limit Theorem, the distribution of the sample means is approximately normal if: A. the sample size n > 30. B. the underlying population is normal. C. the standard deviation of the population is known.
The Central Limit Theorem states that if the sample size is sufficiently large (i.e. greater than 30) the sampling distribution of the sample means will be approximately normal.
