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Type I error
noun
- the error made in the statistical testing of a hypothesis by rejecting the null hypothesis when it is actually true.
type I error
noun
- statistics the error of rejecting the null hypothesis when it is true, the probability of which is the significance level of a result
Word History and Origins
Origin of Type I error1
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.
In the 20th century it was believed that a Type I error was worse than a Type II error.
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