أنشئ حسابًا أو سجّل الدخول للانضمام إلى مجتمعك المهني.
In statistical hypothesis testing, a type I error is the incorrect rejection of a true null hypothesis (a "false positive"), while a type II error is the failure to reject a false null hypothesis (a "false negative").
