A company operates three shifts every day of the week. Each shift includes full-time hourly workers, nonsupervisory salaried employees, and supervisors/managers. The company would like to know if there is a difference among the shifts in terms of the number of hours of work missed due to employee illness. To control for differences that might exist across employee groups, the company randomly selects one employee from each employee group and shift and records the number of hours missed for one year. The results of the study are shown in the accompanying table. Complete parts a through c. i Click the icon to view the data. a. Develop the appropriate test to determine whether blocking is effective or not. Conduct the test at the a = 0.10 level of significance. Determine the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: Not all means are equal (blocking is effective) O B. Ho: PH =UN = HS/M (blocking is effective) HA HH = HN = HS/M HA: Not all means are equal O C. He: At least two populations have different means OD. HO:PH = HN =HS/M HA: H51 = H52 = 153 Ha : Not all means are equal (blocking is effective) O E. Ho: HS1 = 132 = Hsa OF HO: HH = HN =IS/M HA! At least two populations have different means HA: All means are unequal (blocking is effective) What is the F-test statistic for this test? F= (Round to two decimal places as needed.) What is the F-critical value for this test?