Central Limit Theorem states that the distribution of sample means will be approximately normal, regardless of the shape of the population distribution, provided that the sample size is large enough.
Central Limit Theorem states that the distribution of sample means will be approximately normal, regardless of the shape of the population distribution, provided that the sample size is large enough.