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Concept · Foundations
The probability that a test or indicator yields a positive result when the hypothesis is false, written P(E | not-H).
Why it matters
A positive indicator is only meaningful when the false positive rate is small relative to the true positive rate.
Where this shows up
Following the links will take you to the page where this term is introduced in context.
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