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false positive error

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false positive error
Type I error Statistics An error that occurs when the statistical analysis of a trial detects a difference in outcomes between a treatment group and a control group when in fact there is no difference


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With 238,135 requests for latent fingerprint comparisons in 2002 alone, a false positive error rate of 2 percent implies up to 4,800 false convictions or guilty pleas made in hopes of a lighter sentence each year in the U.
Breaking up the forensics monopoly: eight ways to fix a broken system by Koppl, Roger / Reason
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