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 contain 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 A3459433033242853048110501026705283 7827702790385276Company B4663433365104452739847544345163423 4346564(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 μ1 = population mean minutes late for delayed Company A flights and μ2 = population mean minutes late for delayed Company B flights.)A)H0: μ1 − μ2 = 0Ha: μ1 − μ2 ≠ 0B) H0: μ1 − μ2 ≤ 0Ha: μ1 − μ2 > 0C)H0: μ1 − μ2 < 0Ha: μ1 − μ2 = 0D) H0: μ1 − μ2 ≠ 0Ha: μ1 − μ2 = 0E) H0: μ1 − μ2 ≥ 0Ha: μ1 − μ2 < 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.)test statistic=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?A) Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay timeB)Do not Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay time. C)Do not reject H0. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time. D)Reject H0. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.