Type II Error

Type II Error
A statistical term used within the context of hypothesis testing that describes the error that occurs when one accepts a null hypothesis that is actually false. The error rejects the alternative hypothesis, even though it does not occur due to chance.

A type II error accepts the null hypothesis, although the alternative hypothesis is the true state of nature. It confirms an idea that should have been rejected, claiming that two observances are the same, even though they are different.

An example of a type II error would be a pregnancy test that gives a negative result, even though the woman is in fact pregnant. In this example, the null hypothesis would be that the woman is not pregnant, and the alternative hypothesis is that she is pregnant.


Investment dictionary. . 2012.

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  • Type II error — The statistical error (said to be "of the second kind" or beta error) made in testing an hypothesis when it is concluded that a treatment or intervention is not effective when it really is. Sometimes referred to as a false negative. * * …   Medical dictionary

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  • type I error — noun Rejecting the null hypothesis when the null hypothesis is true. Syn: α error, alpha error, false positive, error of the first kind …   Wiktionary

  • type II error — noun Accepting the null hypothesis when the null hypothesis is false. Syn: β error, beta error, error of the second kind, false negative …   Wiktionary

  • Type I error — the error made in the statistical testing of a hypothesis by rejecting the null hypothesis when it is actually true. [1960 65] * * * …   Universalium

  • Type II error — the error made in the statistical testing of a hypothesis by accepting the null hypothesis when it is actually false. * * * …   Universalium

  • type I error — ˌtīp¦wən noun : rejection of the null hypothesis in statistical testing when it is true * * * the error made in the statistical testing of a hypothesis by rejecting the null hypothesis when it is actually true. [1960 65] …   Useful english dictionary

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