You may need to use the appropriate technology to answer this question. 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 minutes each delayed flight was late for two different airlines, Company A and Company B. Company A Company B 34 59 43 30 46 63 42 34 65 32 12 85 30 48 104 45 29 37 84 110 50 10 26 70 76 46 32 49 62 83 78 27 70 12 34 33 63 65 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 #, = population mean minutes late for delayed Company A flights and #2 = population mean minutes late for delayed Company B flights.) Ho: #1 - H2 0 Ha: H1 - H2 = 0 HO: H1 - H2 = 0 Ha: H 1 - 12 # 0 Ho: H1 - M2 20 Ha : H 1 - 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 Ho. 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 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. O Reject Ho. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time