Hi, I am a student, and I was reading about type I and type ii error in statistics. How to avoid type I and type ii error in statistics in hypothesis testing?
It is good that you read about these error in type ii in statistics. Type I error happens when we reject a true null hypothesis, and type ii error happens when we cannot or are not able to reject a false null hypothesis.
Hypothesis testing involves the statement of a null hypothesis and the selection of a level of significance. While type I error the kind of error that includes the rejection of a null hypothesis that is true and type ii error occurs when we don’t reject a null hypothesis which is false.
We cannot eliminate these error properly from statistics in hypothesis testing but we can minimize one error at the same time, and it is easier to minimize type I than type ii.
