METHODS OF DATA ANALYSIS
DECISION MAKING WITH HYPOTHESIS TESTING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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computed value
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t-value
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z-value
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critical value
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Detailed explanation-1: -Answer. The critical value (C.V.) is the value that separates the critical region from the noncritical region [1]. The critical or rejection region is the range of values of the test value that indicates that there is a significant difference and that the null hypothesis should be rejected [1].
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: -A critical region, also known as the rejection region, is a set of values for the test statistic for which the null hypothesis is rejected. i.e. if the observed test statistic is in the critical region then we reject the null hypothesis and accept the alternative hypothesis.