If the probability of a Type I error is set at 0.05, then the probability of a Type II error will be 0.95. true or fasle Solution Answer : False Type I error : It is probability of rejecting true null hypothesis. Type II error : It is probability of not rejecting false null hypothesis. Power: It is probability of rejecting true null hypothesis. Here we have Type II error= 1-Power.