Suppose many large samples were taken from population G, which is normally distributed, and population H, which is not normally distributed. The means of the samples of which of the following populations would approximate a normal distribution?
A. Neither population G nor population H
B. Population H
C. Population G
D. Both population H and population G

(I think it's C population g i just wanted to confirm, thanks!)

Question

Suppose many large samples were taken from population G, which is normally distributed, and population H, which is not normally distributed. The means of the samples of which of the following populations would approximate a normal distribution?
A. Neither population G nor population H
B. Population H
C. Population G
D. Both population H and population G 

(I think it's C population g i just wanted to confirm, thanks!)

loser66 · Answer

I am with you. :)

hockeychick23 · Answer

ok cool, i just wanted to make sure i wasn't reading anything wrong and i understood it correctly(:

phi · Answer

It is asking
The means of the samples of which of the following populations 

in other words,  we take a (large) sample from the population and calculate the mean of that sample. Do that many times and plot a histogram of the means.

According to the central limit theorem,  even skewed "parent populations" from which we draw the samples  will generate  a normally distributed mean.