A company collected employee absenteeism data (in hours per year) at two of its manufacturing plants. The data were obtained by randomly selecting a sample from all of the employees at the first plant, and by randomly selecting another independent sample from all of the employees at the second plant. For each randomly selected employee, absenteeism records were used to determine the exact number of hours the employee has been absent during the past year. The following results were obtained:

Use a Wilcoxon rank sum test and the following MINITAB output to determine whether absenteeism is different at the two plants. Use α = .05.

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Piant 10 13 53 37 59 29 45 26 39 36 Plant 2: 21 46 33 31 49 33 39 19 12 35 N Median Plant 1 10 38.00 Plant 2 10 33.00 Point estimate for ETA1-ETA2 is 7.00 95.5 Percent C1 for ETA1-ETA2 İS (一6.99,24.01) Test of ETA! # ETA2 vs ETA1 not # ETA2 İs significant at 0.2568 The test is significant at 0.2565 (adjusted for ties)