In hypothesis testing what is a Type I error Type II errorSo

In hypothesis testing, what is a Type I error? Type II error?

Solution

In testing of hypothesis,

{Type I error} is the error committed due to rejecting the null hypothesis when it is true.

{Type II error} is the error by accepting a null hypothesis when it is false.

REMARK: It is obvious that Type I error is more serious than Type II error.

In hypothesis testing, what is a Type I error? Type II error?SolutionIn testing of hypothesis, {Type I error} is the error committed due to rejecting the null h

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