type of error
1Type 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… …
2Type 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… …
3Type 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. * * …
4Type 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. * * …
5type 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 …
6type II error probability — antrosios rūšies klaidos tikimybė statusas T sritis Standartizacija ir metrologija apibrėžtis Tikimybė padaryti antrosios rūšies klaidą. atitikmenys: angl. type II error probability rus. вероятность ошибки второго рода, f pranc. probabilité… …
7type 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 …
8type 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 …
9Type I error — the error made in the statistical testing of a hypothesis by rejecting the null hypothesis when it is actually true. [1960 65] * * * …
10Type II error — the error made in the statistical testing of a hypothesis by accepting the null hypothesis when it is actually false. * * * …
