Type II error
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In statistical hypothesis testing, a Type II error consists of failing to reject an invalid null hypothesis (i.e., a "false negative").
The symbol for the probability of a Type II error is <math>\beta<math> (beta). The power of a statistical test is defined as <math>1 - \beta<math>. A test with high sensitivity will have fewer Type II errors. However, as the likelihood of Type II error decreases, the likelihood of Type I error increases.
See also
de:Fehler 2. Art pl:Błąd drugiego rodzaju pt:Erro de tipo II