Christine Steyn

Christine Steyn

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"Type I" and "Type II" errors, names first given by Jerzy Neyman and Egon Pearson to describe rejecting a null hypothesis when it's true and accepting one when it's not, are too vague for stat newc...

Type I and Type II errors simplified. A Type I error is rejecting a null hypothesis when it's true. A Type II error is not rejecting a n.