●●● ●●●● ●●●●● ●●●● Type I error versus type If error in ●●0●● ●●●● ●●●● hypothesis testing Because the predictions in Ho and H, are written so that they are mutually exclusive and all inclusive, we have a situation where one is true and the other is automatically false when Ho is true then Hi is false If we don't reject Ho, we have done the right thing If we reject Ho, we have made a mistake Type I error: Reject Ho when it is true. The probability of type I error is a 21/1/292021/1/29 18 TypeⅠerror versus typeⅡ error in hypothesis testing Because the predictions in H0 and H1 are written so that they are mutually exclusive and all inclusive, we have a situation where one is true and the other is automatically false. when H0 is true ,then H1 is false. ✓ If we don’t reject H0 ,we have done the right thing. ✓ If we reject H0 ,we have made a mistake. Type Ⅰ error: Reject H0 when it is true. The probability of type Ⅰ error is 