Suppose that many large samples were taken from population A, which is normally distributed, and population c, which is not normally distributed. The means of samples of which of the following populations would approximate a normal distribution?
I think the answer is A. Population A I just want to make sure I wasn't reading anything wrong and that I understood the question correctly.
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.
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