If you use a 0.05 level of significance in a two-tail hypothesis test, what decision will...
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If you use a 0.05 level of significance in a two-tail hypothesis test, what decision will you make if ZSTAT = -1.52? Click here to view page 1 of the cumulative standardized normal distribution table. Click here to view page 2 of the cumulative standardized normal distribution table. 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 Ho if ZSTAT or ZSTAT > + B. Reject Ho if ZSTAT <- C. Reject Ho <ZSTAT D. Reject Ho if ZSTAT <- State your conclusion. Choose the correct answer below. A. Since ZSTAT does not fall into the rejection region, reject Ho. B. Since ZSTAT falls into the rejection region, do not reject Ho. O C. Since ZSTAT does not fall into the rejection region, do not reject Ho. O D. Since ZSTAT falls into the rejection region, reject Ho. If you use a 0.05 level of significance in a two-tail hypothesis test, what decision will you make if ZSTAT = -1.52? Click here to view page 1 of the cumulative standardized normal distribution table. Click here to view page 2 of the cumulative standardized normal distribution table. 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 Ho if ZSTAT or ZSTAT > + B. Reject Ho if ZSTAT <- C. Reject Ho <ZSTAT D. Reject Ho if ZSTAT <- State your conclusion. Choose the correct answer below. A. Since ZSTAT does not fall into the rejection region, reject Ho. B. Since ZSTAT falls into the rejection region, do not reject Ho. O C. Since ZSTAT does not fall into the rejection region, do not reject Ho. O D. Since ZSTAT falls into the rejection region, reject Ho.
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Given the problem we have a twotail hypothesis test with a level of significance alpha of 005 This m... View the full answer
Related Book For
Business Statistics A First Course
ISBN: 978-0321979018
7th edition
Authors: David M. Levine, Kathryn A. Szabat, David F. Stephan
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