When a population is not normally distributed, the Central Limit Theorem states that a sufficiently large sample will result in the sample mean being normally distributed.

Question

Quizplus · Accepted Answer

The Central Limit Theorem states that regardless of the original population distribution, the distribution of the sample means approaches a normal distribution as the sample size becomes sufficiently large.

When a Population Is Not Normally Distributed, the Central Limit