Technically, we assume that we are obtaining simple random samples from inﬁnite populations when obtaining sampling distributions. If the size of the population is ﬁnite, we technically need a ﬁnite population correction factor. However, if the sample size is small relative to the size of the population, this factor can be ignored. Explain what an “inﬁnite population” is. What is the ﬁnite population correction factor? How small must the sample size be relative to the size of the population so that we can ignore the factor? Finally, explain why the factor can be ignored for such samples.
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