Where n is the number of samples required
N is the population size,
P is the proportion of the population, the researchers want random. (In general, the proportion of 30% or twelve thirty)
Z is a given confidence level. Or the level of statistical significance such as
Z significance level 0.10 1.65 (90% confidence) >> Z = 1.65
Z 0.05 significance level was 1.96 (confidence 95%) >> Z = 1.96 (normally popular. 95% confidence level)
Z .01 significance level of 2.58 (99% confidence) >> Z = 2:58
elude error E is the sample. Such
a confidence level of 90% ratio tolerances. .10
confidence level of 95%, with a deviation of 0.05 (normally popular confidence level. 95%)
confidence level of 99%, with a deviation of 0.01.
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