The 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 ninutes each delayed flight was late for two different airlines, Company A and Company B. Company A Company B 34 59 43 30 3 44 63 42 34 66 32 42 85 30 48 105 44 29 37 86 110 so 10 26 70 75 45 32 49 64 52 83 78 27 70 43 34 34 65 64 27 90 38 52 76 (a) 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 u, = population mean minutes late for delayed Company A flights and u, = population mean minutes late for delayed Company B flights.) O "o: H1 - P2 O "o: H:- P2 H- H2 > 0 (b) What is the sample mean number of minutes late for delayed flights for each of these two airlines? Company A min Company B min (c) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) p-value Using a 0.05 level of significance, what is your conclusion? O Do not reject Ha. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time. O Reject Ho. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time. O Reject Hg. There is statistical evidence that one airline does better than the other in terms of their population mean delay time. O Do not Reject Ho. There is statistical evidence that one airline does better than the other in terms of their population mean delay time.
The 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 ninutes each delayed flight was late for two different airlines, Company A and Company B. Company A Company B 34 59 43 30 3 44 63 42 34 66 32 42 85 30 48 105 44 29 37 86 110 so 10 26 70 75 45 32 49 64 52 83 78 27 70 43 34 34 65 64 27 90 38 52 76 (a) 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 u, = population mean minutes late for delayed Company A flights and u, = population mean minutes late for delayed Company B flights.) O "o: H1 - P2 O "o: H:- P2 H- H2 > 0 (b) What is the sample mean number of minutes late for delayed flights for each of these two airlines? Company A min Company B min (c) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) p-value Using a 0.05 level of significance, what is your conclusion? O Do not reject Ha. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time. O Reject Ho. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time. O Reject Hg. There is statistical evidence that one airline does better than the other in terms of their population mean delay time. O Do not Reject Ho. There is statistical evidence that one airline does better than the other in terms of their population mean delay time.
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.6: Higher-degree Polynomials And Rational Functions
Problem 5E: Population Genetics In the study of population genetics, an important measure of inbreeding is the...
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