False Positive

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  • In inferential statistics, this term is also known as the “Type I error,” “á error,” or “error of the first kind” and describes the error of rejecting a null hypothesis (groups do not differ significantly in the variable x) when it is actually true. The probability of committing this error is formulated as “á” and can be set by the experimenter (conventionally, it is set to .05 or .01). For á = .05, the chance of erroneously rejecting the null hypothesis is 5 out of 100. However, false positives may still occur due to random error in measurement. The probability for false positives is closely linked to false negatives (the error of failing to reject a null hypothesis when the alternative hypothesis would be more ...

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