Advertisement

Advertisement

Type I error

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

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
Discover More

Word History and Origins

Origin of Type I error1

First recorded in 1960–65
Discover More

Example Sentences

Risk-averse FDA reviewers have traditionally focused on avoiding what the agency knows as a Type I error: Approving a drug that isn’t safe or effective.

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

On the other hand, if we didn’t realize that most of the Corvettes in the region weren’t driven but were kept in garages, then in rejecting the true assumption we would be making a Type I error.

In statistics, a problem akin to apophenia is a Type I error, or false positive.

From Slate

In the 20th century it was believed that a Type I error was worse than a Type II error.

Advertisement

Advertisement

Advertisement

Advertisement


typeholderType II error