i. If the critical values of the test statistic z are $\pm$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 rejecting 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) (i), (ii), and (iii) are all false statements.

Question

i. If the critical values of the test statistic z are  $\pm$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 rejecting 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) (i), (ii), and (iii) are all false statements.

Quizplus · Accepted Answer

The critical values of the test statistic are indeed the dividing points between rejection and non-rejection areas. The probability of a Type I error is referred to as alpha, and a Type I error occurs when a true null hypothesis is rejected.

I If the Critical Values of the Test Statistic Z ±\pm±

I If the Critical Values of the Test Statistic Z $\pm$