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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.
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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.
The Type I error is to conclude that Jeffrey swims the 25-yard freestyle, on average, in less than 16.43 seconds when, in fact, he actually swims the 25-yard freestyle, on average, in 16.43 seconds.
From Textbooks • Mar. 27, 2020
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
Consider the consequences of making 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
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Idioms from The American Heritage® Idioms Dictionary copyright © 2002, 2001, 1995 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company.