Read About Type I Error Type Ii Error In Detail.

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I wish to ask about type i error type ii error in brief. If anybody is having any clue regarding this, then please explain it in reply.

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Answered By 20 points N/A #302035

Read About Type I Error Type Ii Error In Detail.

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In the testing of statistical hypothesis, a type I error is equivalent to the false rejection of a true null hypothesis, while a type II error is falsely retaining an incorrect null hypothesis. Simply, a type I fault is the detection of an item which is not present, whereas a type II error is the inability to detect a result which is present.

An example of the type I error includes a test which declares a patient is having a disease when in fact, he does not have the disease.

An example of type II error includes a blood test which fails to detect the disease that it was designed to detect.

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