The Central Limit Theorem States That for a Sufficiently Large $\sigma$

True/False

The Central Limit Theorem states that for a sufficiently large sample the sampling distribution of the means of all possible samples of size n generated from the population will be approximately normally distributed with the mean of the sampling distribution equal to µ and the variance equal to $\sigma$ ²/n.