What does the Central Limit Theorem say about the sampling distribution of the sample mean when the sample size is large enough?
Question 2
If the population has mean $\mu=50$ and standard deviation $\sigma=10$, what is the mean of the sampling distribution of $\bar{x}$?
Question 3
If the population has standard deviation $\sigma=12$ and the sample size is $n=36$, what is the standard deviation of the sampling distribution of $\bar{x}$?
Question 4
Why does the sampling distribution of $\bar{x}$ usually become less spread out as sample size increases?
Question 5
Which statement best describes the effect of the Central Limit Theorem on the shape of the sampling distribution of $\bar{x}$?
