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# Minimum Sample Size Required Calculator - Estimating a Population Proportion

Instructions: This calculator finds the minimum sample size required to estimate a population proportion (p) within a specified margin of error. Please select type the the significance level ($$\alpha$$) and the required margin of error (E), along with an estimate of the population proportion if one exists, and the solver will find the minimum sample size required:

Required Margin of Error (E) =

Estimate of population proportion, if any (leave empty if you don't have an estimate) =

Significance Level ($$\alpha$$) = (Ex: 0.01, 0.05, or 5, 10 without "%", etc)

More information about the minimum sample size required so you can better use the results delivered by this solver: In general terms, the larger the sample size n, the more precise of an estimate can be obtained of a population parameter, via the use of confidence interval. In this case specifically, use the formula for the margin of error of a confidence interval for a population proportion $$p$$:

$E = z_c \sqrt{\frac{\hat p(1-\hat p)}{n} }$

So, it can be observed from the above formula that if the sample size n increases (which is in the denominator), the margin of error $$E$$ will decrease, provided that that the critical value $$z_c$$ and $$\hat p$$ do not change. So, the formula for obtaining the samply obtained by taking the above equation and solve for n.

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