Type I and type II errors
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In a statistical hypothesis test, there are two types of incorrect conclusions that can be drawn. The hypothesis can be inappropriately rejected (this is called type I error), or one can inappropriately retain the hypothesis (this is called type II error). The Greek letter α is used to denote the probability of type I error, and the letter β is used to denote the probability of type II error.
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See also
- Binary classification
- Detection theory
- Egon Pearson
- False positive paradox
- Family-wise error rate
- Information retrieval performance measures
- Neyman–Pearson lemma
- Null hypothesis
- Probability of a hypothesis for Bayesian inference
- Precision and recall
- Prosecutor's fallacy
- Prozone phenomenon
- Receiver operating characteristic
- Sensitivity and specificity
- Statisticians' and engineers' cross-reference of statistical terms
- Testing hypotheses suggested by the data
- Type III error
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