8th Edition

ISBN: 9781337558075

Author: Charles Henry Brase, Corrinne Pellillo Brase

Publisher: Cengage Learning

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Textbook Question

Chapter 9.2, Problem 29P

Critical Region Method: Student'st Solve Problem 13 using the critical region method of testing Hint: See Problem 28 Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same?

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Chapter 9.2, Problem 28P

Chapter 9.2, Problem 30P

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Test the hypothesis of the given problem using the steps discussed previously.

In the oil-wildcatting problem (book chapter 7), suppose that the company could collect information from a drilling core sample and analyze it to determine whether a dome structure exists at Site 1. A positive result would indicate the presence of a dome, and a negative result would indicate the absence of a dome. The test is not perfect, however. The test is highly accurate for detecting a dome; if there is a dome, then the test shows a positive result 99% of the time. On the other hand, if there is no dome, the probability of a negative result is only 0.85. Thus, P(+ | Dome) = 0.99 and P(- | No Dome) = 0.85. Use these probabilities, the information given in the example, and Bayes' theorem to find the posterior probabilities P(Dome | +) and P(Dome | -). If the test gives a positive result, which site should be selected? Calculate expected values to support your conclusion! If the test result is negative, which site should be chosen? Again, calculate expected values

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Chapter 9 Solutions

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Critical Region Method: Student's t Solve Problem 13 using the critical region method of testing Hint: See Problem 28 Compare your conclusion with the conclusion obtained by using the P -value method. Are they the same?

Solution Summary: The author explains the level of significance, null hypothesis, and alternative hypothesis. The sample test statistic is 2.48.

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Chapter 9 Solutions