-
Type I error
Type I errornounthe error made in the statistical testing of a hypothesis by rejecting the null hypothesis when it is actually true.
-
type I error
type I errornounstatistics the error of rejecting the null hypothesis when it is true, the probability of which is the significance level of a result
Type I error
Americannoun
noun
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.
Type I error: We conclude that the proportion is less than 11 percent, when it is really at least 11 percent.
From Textbooks ● Mar. 27, 2020
Type I error: We conclude that the proportion of high school seniors who take physical education daily is not 29%, when it really is 29%.
From Textbooks ● Mar. 27, 2020
If this is so then we have falsely rejected a true null hypothesis and have made a Type I error.
From Textbooks ● Nov. 29, 2017
The Type I and Type II errors are as follows: The Type I error is to conclude that the proportion of borrowers is different from 50% when, in fact, the proportion is actually 50%.
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
![]()
Random Word
Spin the wheel and learn a new word!
Get a wordDefinitions and idiom definitions from Dictionary.com Unabridged, based on the Random House Unabridged Dictionary, © Random House, Inc. 2023
Idioms from The American Heritage® Idioms Dictionary copyright © 2002, 2001, 1995 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company.