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As tiny-N analysis must not rely on random sampling, Students will have to watch out in averting range bias when selecting ideal cases.[21] A common criticism of qualitative scholarship is the fact cases are picked as they are consistent with the scholar's preconceived notions, causing biased study.
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Numerous cases are cases that have variations about the relevant X and Y variables. As a result of array of variation around the suitable variables, these cases are agent of the total population of cases.
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