Homework Answers
It is example of type II error.
The following is the definition of type I and
type II error for your clarification.
type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion).
Here our null hypothesis is fail to reject and
Actually the reality is not.
So your answer is type II error.
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