Which of the following is NOT a true statement about error in hypothesis testing?Choose the correct answer below.A.The symbol alpharepresents the probability of a type I error.B.A type I error is making the mistake of rejecting the null hypothesis when it is actually true.C.A type II error is making the mistake of failing to reject the null hypothesis when it is actually false.D.A type I error is making the mistake of rejecting the null hypothesis when it is actually false.

Error type I is usually represented by alpha symbol and type I error entail making a mistake of rejecting the null hypothesis when it's actually true. Type II error on the other side involves making a mistake of failing to reject null hypothesis when it is actually false. The statement in option D is false because it contradicts the definition of type I error above hence the only false statement in relation to hypothesis testing is option D, A type I error is making the mistake of rejecting the null hypothesis when it is actually false.