Question

"What is one implication of a sample size less than 30, with regard to the central limit theorem?"

Answer 1

=>The Central Limit Theorem applies without regard to the size of the sample.

=> The central limit theorem tells us exactly what the shape of the distribution of means will be when we draw repeated samples from a given population.

=> Specifically, as the sample sizes get larger, the distribution of means calculated from repeated sampling will approach normality.

According the Central Limit Theorem, a sample size greater than 30 is large enough to assume that the sample mean is approximately normal.