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<p>and a negative result corresponds to not rejecting the null hypothesis. The terms are often used interchangeably, but there are differences in detail and interpretation due to the differences between medical testing and statistical hypothesis testing.</p>

<p><big>False positive error</big></p>
<p>A <b>false positive error</b>, or <b>false positive</b>, is a result that indicates a given condition exists when it objectively does not. For example, a pregnancy test which indicates a woman is pregnant when she is not, or the conviction of an innocent person.</p><p>
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