The Central Limit Theorem States That If a Random Sample $\bar { X }$

Multiple Choice

The central limit theorem states that if a random sample of size n is drawn from a population, then the sampling distribution of the sample mean $\bar { X }$ :

A) is approximately normal if n > 30.
B) is approximately normal if n < 30.
C) is approximately normal if the underlying population is normal.
D) has the same variance as the population.