i. If the critical values of the test statistic z are ±1.96, they are the dividing points between the areas of rejection and non-rejection.
Ii) The probability of a Type I error is also referred to as alpha.
Iii) A Type I error is the probability of accepting a true null hypothesis.
A) (i), (ii) and (iii) are all correct statements
B) (i) is a correct statement but not (ii) or (iii).
C) (i) and, (iii) are correct statements but not (ii).
D) (i) and, (ii) are correct statements but not (iii).
E) All statements are false

Question

Quizplus · Accepted Answer

The critical values ±1.96 are indeed the dividing points for rejection and non-rejection areas in a standard normal distribution. The probability of a Type I error is referred to as alpha. However, a Type I error is the probability of rejecting a true null hypothesis, not accepting it.

I If the Critical Values of the Test Statistic Z