Question
1. If you use a level of significance in a two-tail hypothesis test, what decision will you make if ZSTAT 0.05 = 2.05? Determine the
1. If you use a level of significance in a two-tail hypothesis test, what decision will you make if ZSTAT 0.05 = 2.05?
Determine the decision rule.
Select the correct choice below and fill in the answer box(es) within your choice.
(Round to two decimal places as needed.)
A. Reject H0 if ZSTAT >____________
B. Reject H0 __________ C. Reject H0 if ZSTAT < ___________ D. Reject H0 if ZSTAT <- ________________or ZSTAT < > + _________ State your conclusion. Choose the correct answer below. A. Since ZSTAT falls into the rejection region, reject H0 B. Since ZSTAT does not fall into the rejection region, do not reject H0 C. Since ZSTAT falls into the rejection region, do not reject H0 D. Since ZSTAT does not fall into the rejection region, reject H0. 2. What is the p-value if, in a two-tail hypothesis test, Zstat +1.91 ? p value_____________ (round to four decimal places) 3. If, in a (two-tail) hypothesis test, the p-value is 0.0305, what is your statistical decision if you test the null hypothesis at the 0.04 level of significance? Choose the correct answer below? A. Since the p-value is greater than , reject H0 B. Since the p-value is less than , reject H0 C. Since the p-value is less than , do not reject H0 D. Since the p-value is greater than , do not reject H0 . 4. If, in a sample of n = 102 selected from a -skewed population, X = 66 and S = 25 , would you use the t test to test the null hypothesis ? H0 : = 58? Choose the correct answer below. A. Yes, you would use the t test because the sample size is less than 30 and this population size allows for the Central Limit Theorem to take effect. B. No, you would not use the t test because the sample size is at least 30 and the population is left-skewed. C. , you use the t test because the sample size is 30 and this population size allows for the Central Limit Theorem to take effect. Yes would at least D. No, you would not use the t test because the sample size is less than 30 and the population
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