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Type I error

American  

noun

  1. the error made in the statistical testing of a hypothesis by rejecting the null hypothesis when it is actually true.


type I error British  

noun

  1. statistics the error of rejecting the null hypothesis when it is true, the probability of which is the significance level of a result

"Collins English Dictionary — Complete & Unabridged" 2012 Digital Edition © William Collins Sons & Co. Ltd. 1979, 1986 © HarperCollins Publishers 1998, 2000, 2003, 2005, 2006, 2007, 2009, 2012

Etymology

Origin of Type I error

First recorded in 1960–65

Example Sentences

Examples are provided to illustrate real-world usage of words in context. Any opinions expressed do not reflect the views of Dictionary.com.

The Type I error is to conclude that the percent of EVC students who attended is .

From Textbooks • Mar. 27, 2020

The probability of making a Type I error is α.

From Textbooks • Nov. 29, 2017

However, the level of significance is a policy decision and should be based upon the risk of making a Type I error, rejecting a good null.

From Textbooks • Nov. 29, 2017

Critical Value The t or Z value set by the researcher that measures the probability of a Type I error, α.

From Textbooks • Nov. 29, 2017

A Type I error occurs when a true hypothesis is rejected, and a Type II error occurs when a false hypothesis is accepted.

From "Innumeracy: Mathematical Illiteracy and Its Consequences" by John Allen Paulos