Chapin Manufacturing Company operates 24 hours a day, five days a week. The workers rotate shifts each week. Management is interested in whether there is a difference in the number of units produced when the employees work on various shifts. A sample of five workers is selected and their output recorded on each shift. At the 0.01 significance level, can we conclude there is a difference in the mean production rate by shift or by employee?
Skaff 37 27 34
Lum 35 26 38
Clark 24 23 22
Treece 22 20 25
Morgan 30 26 37
Ho: µ1=µ2=µ3 = µ4 =µ5
H1: At least two means are not equal
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
skaff | 3 | 98 | 32.66667 | 26.33333 | ||
lum | 3 | 99 | 33 | 39 | ||
clark | 3 | 69 | 23 | 1 | ||
treece | 3 | 67 | 22.33333 | 6.333333 | ||
morgan | 3 | 93 | 31 | 31 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 336.2667 | 4 | 84.06667 | 4.0547 | 0.033036 | 5.994339 |
Within Groups | 207.3333 | 10 | 20.73333 | |||
Total | 543.6 | 14 |
F stat = 4.0547
F critical = 5.94
F stat < f critical, so do not reject Ho
there is no difference in the mean production rate by shift or by employee
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