ESBE4eAISEsm09 - Chapter 9 Hypothesis Testing Learning...

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Chapter 9 Hypothesis Testing Learning Objectives 1. Learn how to formulate and test hypotheses about a population mean and/or a population proportion. 2. Understand the types of errors possible when conducting a hypothesis test. 3. Be able to determine the probability of making various errors in hypothesis tests. 4. Know how to compute and interpret p -values. 5. Be able to use critical values to draw hypothesis testing conclusions. 6. Be able to determine the size of a simple random sample necessary to keep the probability of hypothesis testing errors within acceptable limits. 7. Know the definition of the following terms: null hypothesis two-tailed test alternative hypothesis p -value Type I error level of significance Type II error critical value one-tail test 9 - 1 This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied, or distributed without the prior consent of the publisher.
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Chapter 9 Solutions: 1. a. H 0 : µ 600 Manager’s claim. H a : > 600 b. We are not able to conclude that the manager’s claim is wrong. c. The manager’s claim can be rejected. We can conclude that > 600. 2. a. H 0 : 14 H a : > 14 Research hypothesis b. There is no statistical evidence that the new bonus plan increases sales volume. c. The research hypothesis that > 14 is supported. We can conclude that the new bonus plan increases the mean sales volume. 3. a. H 0 : = 32 Specified filling weight H a : 32 Overfilling or underfilling exists b. There is no evidence that the production line is not operating properly. Allow the production process to continue. c. Conclude 32 and that overfilling or underfilling exists. Shut down and adjust the production line. 4. a. H 0 : 220 H a : < 220 Research hypothesis to see if mean cost is less than $220. b. We are unable to conclude that the new method reduces costs. c. Conclude < 220. Consider implementing the new method based on the conclusion that it lowers the mean cost per hour. 5. a. The Type I error is rejecting H 0 when it is true. This error occurs if the researcher concludes that young men in Germany spend more than 56.2 minutes per day watching prime-time TV when the national average for Germans is not greater than 56.2 minutes. b. The Type II error is accepting H 0 when it is false. This error occurs if the researcher concludes that the national average for German young men is 56.2 minutes when in fact it is greater than 56.2 minutes. 6. a. H 0 : 1 The label claim or assumption. H a : > 1 b. Claiming > 1 when it is not. This is the error of rejecting the product’s claim when the claim is true. 9 - 2 This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied, or distributed without the prior consent of the publisher.
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Hypothesis Testing c. Concluding µ 1 when it is not. In this case, we miss the fact that the product is not meeting its label specification.
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This note was uploaded on 05/26/2010 for the course ACC 251 taught by Professor Carl during the Winter '09 term at University of Central Arkansas.

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ESBE4eAISEsm09 - Chapter 9 Hypothesis Testing Learning...

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