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 ontime arrival. The tables below contains a sample of data from delayed ights showing the number of minutes each delayed ight was late For two different airlines, Company A and Company B. Company A Company B 34 59 43 30 3 45 64 42 34 66 32 42 85 30 48 104 45 28 37 S6 110 50 10 26 70 74 45 33 49 63 52 83 78 27 70 41 36 34 64 64 27 9|] 38 52 76 (a) Formulate the hypotheses that can be used to test for a diFference between the population mean minutes late for delayed ights by these two airlines. (Let pl : population mean minutes late for delayed Company A flights and #2 = population mean minutes late for delayed Company B ights.) (b) What is the sample mean number of minutes late For delayed flights for each of these two airlines? omm :mo comm :mm (c) Calculate the test statistic. [Round your answer to three decimal places.) E What is the p-value? (Round your answer to four decimal places.) Using a 0.05 level of significance, what is your conclusion? 0 Reject Ho' There is statistical evidence that one airline does better than the other in terms of their population mean delayr time. 0 Do not reject \"0' There is no statistical evidence that one airline does better than the other in terms of their population mean delay time. Q Do not Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay time. Q Reject Ho' There is no statistical evidence that one airline does better than the other in terms of their population mean delay time