According to the Central Limit Theorem, regardless of the population from which data is drawn, the sampling distribution of the mean when sufficiently large is:

Question

Quizplus · Accepted Answer

The sampling distribution of the mean, when sufficiently large, is normally distributed.
Key Takeaway: When a sample is sufficiently large, the distribution around the mean of the data set is said to be normal. The approximation of the sample distribution to that of the population improves as the sample size increases.

According to the Central Limit Theorem, Regardless of the Population