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What is type I & II errors ?

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Question added by Amjed Mehboob , G.M -(Currently Job Seeking ) , Advance Education centre
Date Posted: 2016/04/26
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Yosef Abdalsalam Mohammed
by Yosef Abdalsalam Mohammed , IT Manager , Al-Alamiya for Furniture

It's "what are" ,

the answer is :

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").

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