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 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) (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 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) (i), (ii), and (iii) are all false statements.

Quizplus · Accepted Answer

Statement (i) is correct as the critical values of the test statistic z do indeed separate the areas of rejection and non-rejection. Statement (ii) is also correct as the probability of a Type I error is commonly denoted as alpha. However, statement (iii) is incorrect as 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 ±\pm±

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