TYPE I ERROR Definition & Meaning

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

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�y��vlog History and Origins

Origin of Type I error¹

First recorded in 1960–65

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Example Sentences

Examples have not been reviewed.

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.

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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.

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

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

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

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