METHODS OF DATA ANALYSIS
DECISION MAKING WITH HYPOTHESIS TESTING
| Question 
 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
 | 
|  |  critical value 
 | 
|  |  computed value 
 | 
|  |  z-score 
 | 
|  | None of the above
 | 
Detailed explanation-1: -The value(s) which separate the critical region from the non-critical region. The critical values are determined independently of the sample statistics. A critical value separates the rejection region from the non-rejection region.
Detailed explanation-2: -In a test of hypothesis, a critical value is a number that separates two regions: the critical region, that is, the set of values of the test statistic that lead to a rejection of the null hypothesis; the acceptance region, that is, the set of values for which the null is not rejected.
Detailed explanation-3: -Therefore, the statement is false. The critical value separates the rejection region from the non-rejection region, not the critical value from the non-critical region.
Detailed explanation-4: -Answer and Explanation: The values of the test statistic that separate the acceptance region from the rejection region are called critical values of that test statistic.