Type I Error

Type I Error
A type of error that occurs when a null hypothesis is rejected although it is true. The error accepts the alternative hypothesis, despite it being attributed to chance.

Also referred to as a "false positive".

Type I error rejects an idea that should have been accepted. It also claims that two observances are different, when they are actually the same.

For example, let's look at the trail of an accused criminal. The null hypothesis is that the person is innocent, while the alternative is guilty. A Type I error in this case would mean that the person is found guilty and is sent to jail, despite actually being innocent.


Investment dictionary. . 2012.

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

  • 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

  • type I error probability — pirmosios rūšies klaidos tikimybė statusas T sritis Standartizacija ir metrologija apibrėžtis Tikimybė padaryti pirmosios rūšies klaidą. atitikmenys: angl. type I error probability vok. Signifikanzniveau, n rus. вероятность ошибки первого рода, f …   Penkiakalbis aiškinamasis metrologijos terminų žodynas

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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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