Which of the following is NOT a true statement about error in hypothesis testing?Choose the correct answer below.A.The symbol a
lpharepresents 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.
A type I error is making the mistake of rejecting the null hypothesis when it is actually false.
Explanation:
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.
When an electromagnetic wave passes from space to matter, some part of the energy is absorbed by the matter and it increases its energy. The wave may reflect and some part may pass through the matter depending on the amount of energy they have. The amplitude of the wave decreases if some parts of it are reflected.
