ALSO WHAT IS TYPE II AND TYPE III OUT OF THESE ANSWERS GIVEN? In hypothesis test

Question

ALSO WHAT IS TYPE II AND TYPE III OUT OF THESE ANSWERS GIVEN?

In hypothesis testing, we deal with Type I error by Acting carefully and diligently in our choices of hypothesis statements and in deciding what statistical model we apply to a situation. Choosing a level of significance that is acceptably low. Hedging our bets' by saying "there's no evidence to reject the null hypothesis" when the p-value is less than alpha. this type of error altogether Hedging our bets' by saying "there's no evidence to reject the null hypothesis" when the p-value is larger than alpha. OChoosing a level of significance that allows us to reject the null hypothesis, so that we will always end up rejecting the null hypothesis - thereby avoiding

Explanation / Answer

Type 1 error is the significance level we choose, so Option B is Correct Interpretation of Type 1 Error. Choose a level of significance that is acceptably low

Type 2 error here is the Option C , hedging our bets and fail to reject the null hypothesis when p value is less than significance level

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