he success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airlines compete is on-time arrival. The tables below contains a sample of data from delayed flights showing the number of minutes each delayed flight was late for two different airlines, Company A and Company B. Company A 34 59 43 30 3 32 42 85 30 48 110 50 10 26 70 52 83 78 27 70 27 90 38 52 76 Company B 46 63 42 33 66 105 44 28 38 85 76 45 32 49 62 41 36 34 63 Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. (Let ?1 = population mean minutes late for delayed Company A flights and ?2 = population mean minutes late for delayed Company B flights.) What is the sample mean number of minutes late for delayed flights for each of these two airlines? Calculate the test statistic. What is the p-value? Using a 0.05 level of significance, what is your conclusion?
he success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airlines compete is on-time arrival. The tables below contains a sample of data from delayed flights showing the number of minutes each delayed flight was late for two different airlines, Company A and Company B. Company A 34 59 43 30 3 32 42 85 30 48 110 50 10 26 70 52 83 78 27 70 27 90 38 52 76 Company B 46 63 42 33 66 105 44 28 38 85 76 45 32 49 62 41 36 34 63 Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. (Let ?1 = population mean minutes late for delayed Company A flights and ?2 = population mean minutes late for delayed Company B flights.) What is the sample mean number of minutes late for delayed flights for each of these two airlines? Calculate the test statistic. What is the p-value? Using a 0.05 level of significance, what is your conclusion?
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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he success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airlines compete is on-time arrival. The tables below contains a sample of data from delayed flights showing the number of minutes each delayed flight was late for two different airlines, Company A and Company B.
Company A
34 | 59 | 43 | 30 | 3 |
32 | 42 | 85 | 30 | 48 |
110 | 50 | 10 | 26 | 70 |
52 | 83 | 78 | 27 | 70 |
27 | 90 | 38 | 52 | 76 |
Company B
46 | 63 | 42 | 33 | 66 |
105 | 44 | 28 | 38 | 85 |
76 | 45 | 32 | 49 | 62 |
41 | 36 | 34 | 63 |
Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. (Let ?1 = population mean minutes late for delayed Company A flights and ?2 = population mean minutes late for delayed Company B flights.)
What is the sample mean number of minutes late for delayed flights for each of these two airlines?
Calculate the test statistic.
What is the p-value?
Using a 0.05 level of significance, what is your conclusion?
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