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Airlines compute the weight of outbound flights using either standard average weights provided by the Federal Aviation Administration (FAA) or weights obtained from their own sample surveys. The FAA standard average weight for a passenger's carry-on items (personal items plus carry-on bags) is 16 pounds. Many airline companies have begun implementing fees for checked bags. Economic theory predicts that passengers will respond to the increase in the price of a checked bag by substituting carry-on bags for checked bags. As a result, the mean weight of a passenger's carry-on items is expected to increase after the implementation of the checked-bag fee. Suppose that a particular airline's passengers had a mean weight for their carry-on items of 16 pounds, the FAA standard average weight, before implementation of the checked-bag fee. The airline conducts a hypothesis test to determine whether the current mean weight of its passengers' carry- on items is more than 16 pounds. It selects a random sample of 80 passengers and weighs their carry-on items. The sample mean is x = 17.4 pounds, and the sample standard deviation is s = 5.7 pounds. The airline uses a significance level of a = 0.05 to conduct its hypothesis test. The hypothesis test is The test statistic follows a Select a Distribution test. distribution. The value of the test statistic is 0 1 2 Distributions 3 Use the Distributions tool to develop the critical value rejection rule. According to the critical value approach, the rejection rule is: Reject Ho if t≥ 1.664 Reject Ho if t≤ -1.990 or t≥ 1.990 Reject Ho if t≤ -1.664 Reject Ho if z ≥ 1.645 The p-value is Using the critical value approach, the null hypothesis is hypothesis is , because because . Therefore, you passengers' carry-on items has increased after the implementation of the checked-bag fee. Using the p-value approach, the null conclude that the mean weight of the airline's

Airlines compute the weight of outbound flights using either standard average weights provided by the Federal Aviation Administration (FAA) or weights obtained from their own sample surveys. The FAA standard average weight for a passenger's carry-on items (personal items plus carry-on bags) is 16 pounds. Many airline companies have begun implementing fees for checked bags. Economic theory predicts that passengers will respond to the increase in the price of a checked bag by substituting carry-on bags for checked bags. As a result, the mean weight of a passenger's carry-on items is expected to increase after the implementation of the checked-bag fee. Suppose that a particular airline's passengers had a mean weight for their carry-on items of 16 pounds, the FAA standard average weight, before implementation of the checked-bag fee. The airline conducts a hypothesis test to determine whether the current mean weight of its passengers' carry- on items is more than 16 pounds. It selects a random sample of 80 passengers and weighs their carry-on items. The sample mean is x = 17.4 pounds, and the sample standard deviation is s = 5.7 pounds. The airline uses a significance level of a = 0.05 to conduct its hypothesis test. The hypothesis test is The test statistic follows a Select a Distribution test. distribution. The value of the test statistic is 0 1 2 Distributions 3 Use the Distributions tool to develop the critical value rejection rule. According to the critical value approach, the rejection rule is: Reject Ho if t≥ 1.664 Reject Ho if t≤ -1.990 or t≥ 1.990 Reject Ho if t≤ -1.664 Reject Ho if z ≥ 1.645 The p-value is Using the critical value approach, the null hypothesis is hypothesis is , because because . Therefore, you passengers' carry-on items has increased after the implementation of the checked-bag fee. Using the p-value approach, the null conclude that the mean weight of the airline's

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Airlines compute the weight of outbound flights using either standard average weights provided by the Federal Aviation Administration (FAA) or weights obtained from their own sample surveys. The FAA standard average weight for a passenger's carry-on items (personal items plus carry-on bags) is 16 pounds. Many airline companies have begun implementing fees for checked bags. Economic theory predicts that passengers will respond to the increase in the price of a checked bag by substituting carry-on bags for checked bags. As a result, the mean weight of a passenger's carry-on items is expected to increase after the implementation of the checked-bag fee. Suppose that a particular airline's passengers had a mean weight for their carry-on items of 16 pounds, the FAA standard average weight, before implementation of the checked-bag fee. The airline conducts a hypothesis test to determine whether the current mean weight of its passengers' carry- on items is more than 16 pounds. It selects a random sample of 80 passengers and weighs their carry-on items. The sample mean is x = 17.4 pounds, and the sample standard deviation is s = 5.7 pounds. The airline uses a significance level of a = 0.05 to conduct its hypothesis test. The hypothesis test is The test statistic follows a Select a Distribution test. distribution. The value of the test statistic is 0 1 2 Distributions 3
Transcribed Image Text:Airlines compute the weight of outbound flights using either standard average weights provided by the Federal Aviation Administration (FAA) or weights obtained from their own sample surveys. The FAA standard average weight for a passenger's carry-on items (personal items plus carry-on bags) is 16 pounds. Many airline companies have begun implementing fees for checked bags. Economic theory predicts that passengers will respond to the increase in the price of a checked bag by substituting carry-on bags for checked bags. As a result, the mean weight of a passenger's carry-on items is expected to increase after the implementation of the checked-bag fee. Suppose that a particular airline's passengers had a mean weight for their carry-on items of 16 pounds, the FAA standard average weight, before implementation of the checked-bag fee. The airline conducts a hypothesis test to determine whether the current mean weight of its passengers' carry- on items is more than 16 pounds. It selects a random sample of 80 passengers and weighs their carry-on items. The sample mean is x = 17.4 pounds, and the sample standard deviation is s = 5.7 pounds. The airline uses a significance level of a = 0.05 to conduct its hypothesis test. The hypothesis test is The test statistic follows a Select a Distribution test. distribution. The value of the test statistic is 0 1 2 Distributions 3
Use the Distributions tool to develop the critical value rejection rule. According to the critical value approach, the rejection rule is: Reject Ho if t≥ 1.664 Reject Ho if t≤ -1.990 or t≥ 1.990 Reject Ho if t≤ -1.664 Reject Ho if z ≥ 1.645 The p-value is Using the critical value approach, the null hypothesis is hypothesis is , because because . Therefore, you passengers' carry-on items has increased after the implementation of the checked-bag fee. Using the p-value approach, the null conclude that the mean weight of the airline's
Transcribed Image Text:Use the Distributions tool to develop the critical value rejection rule. According to the critical value approach, the rejection rule is: Reject Ho if t≥ 1.664 Reject Ho if t≤ -1.990 or t≥ 1.990 Reject Ho if t≤ -1.664 Reject Ho if z ≥ 1.645 The p-value is Using the critical value approach, the null hypothesis is hypothesis is , because because . Therefore, you passengers' carry-on items has increased after the implementation of the checked-bag fee. Using the p-value approach, the null conclude that the mean weight of the airline's
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