Four factors that affect sample size are:
(1) Sampling risk (inverse relationship). As acceptable sampling risk decreases, sample size increases.
(2) Tolerable rate of deviation (inverse relationship). As the acceptable tolerable rate of deviation decreases, sample size increases.
(3) Expected population deviation rate (direct relationship). As the expected population deviation rate increases, the sample size increases.
(4) Population size (direct relationship). As population size increases, sample size increases.—
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