In hypothesis testing, we deal with Type I error by: Choosing a level of signifi
ID: 3316191 • Letter: I
Question
In hypothesis testing, we deal with Type I error by: 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. Acting carefully and diligently in our choices of hypothesis statements and in deciding what statistical model we apply to a situation. Hedging our bets' by saying "there's no evidence to reject the null hypothesis" when the p-value is larger than alpha Choosing 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 this type of error altogether.Explanation / Answer
We reject null hypothesis, when p value is less than alpha (i.e. Type 1 error)
'Hedging our bets' by saying "there'sno evidence to reject the null hypothesis" when the p-value is larger than alpha.