Type II error with example

Question

13 Jul 2023

Answer :

Word Count : 399

A Type II error, also known as a false negative, occurs in statistical hypothesis testing when we fail to reject a null hypothesis that is actually false. In other words, it happens when we incorrectly accept the null hypothesis when we should have rejected it. This error is particularly important in hypothesis testing because it can lead to the conclusion that there is no significant effect or relationship when, in fact, there is one.

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