type I error
Statistics term for rejecting a true null hypothesis; often contrasted with 第二種の過誤 (type II error).
See also: 第二種の過誤
If the significance level is set to 5%, the probability of committing a type I error is 5%.
第二種の過誤 is a type II error (failing to reject a false null hypothesis), while 第一種の過誤 is a type I error (rejecting a true null hypothesis).
Compound of 第一種 (type I) + の + 過誤 (error), a direct translation of the English statistical term 'type I error'.