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All else being equal, if you cut the sample size in half, how does this affect the margin of error when using the sample to make a statistical inference about the mean of the normally distributed population from which it was drawn?
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The less the sample size, generally more the variation from the mean, and greater the error.
In a small sample size, the mean may be misrepresented from the actual maean
which is the answer?
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