●●● ●●●● ●●●●● ●●●● Type I error versus type If error in ●●0●● ●●●● ●●●● hypothesis testing When Ho is false then H is true If we don't reject Ho, we have made a mistake If we reject Ho, we have done the right thing ype ll error: Don't reject when it is false. The probability of type I error isβ. B is more difficult to assess because it depends on several factors 1-B is called the power of the test 21/1/292021/1/29 19 TypeⅠerror versus typeⅡ error in hypothesis testing when H0 is false ,then H1 is true. ✓ If we don’t reject H0 , we have made a mistake. ✓ If we reject H0 , we have done the right thing. TypeⅡ error : Don’t reject when it is false. The probability of type Ⅱ error is .  is more difficult to assess because it depends on several factors. 1-  is called the power of the test