Type I Error (Alpha Error)

In statistical inference, the error of rejecting the null hypothesis when it is “true” (and should have been accepted). Type I error is usually referred to as the statistical significance of a result (see also Type II Error). In everyday language, we can say that it is the probability of being wrong when accepting the research hypothesis as true (i.e., as confirmed by the data).