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<p>0.5):</p>

<p>
:</p>

<p>for n, yielding the sample size</p>

<p> in the case of using 0.5 as the most conservative estimate of the proportion. (Note: W/2 = <a href="page.php?w=margin_of_error">margin of error</a>.)</p>

<p>Otherwise, the formula would be  which yields </p>

<p>In the right-hand figure one can observe how sample sizes for binomial proportions change given different confidence levels and margins of error.</p>

<p>For example, in estimating the proportion of the U.S. population supporting a presidential candidate with a 95% confidence</p><p>
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