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

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 $$\bar { X }$$ : $\begin{array}{|l|l|}\hline A&\text { is approximately normal if \( n>30 \).}\\\hline B&\text { is approximately normal if \( n<30 \).}\\\hline C&\text { is approximately normal if the underlying population is normal.}\\\hline D&\text { has the same variance as the population.}\\\hline \end{array}$