d& e. Compute SST, SsB, S total, and SSE and complete an ANOVA table. (Round your SS, Fvalue to 2 decimal places, MS 3 decimal places and pvalue to 4 decimal places.) Source SS MS p-value Treatments Blocks Error Total

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d & e. Compute SST, SSB, SS total, and SSE and complete an ANOVA table. (Round your SS, Fvalue to 2 decimal places, MS 3
decimal places and p-value to 4 decimal places.)
Source
SS
df
MS
p-value
Treatments
Blocks
4
Error
Total
14
Transcribed Image Text:d & e. Compute SST, SSB, SS total, and SSE and complete an ANOVA table. (Round your SS, Fvalue to 2 decimal places, MS 3 decimal places and p-value to 4 decimal places.) Source SS df MS p-value Treatments Blocks 4 Error Total 14
Chapin Manufacturing Company operates 24 hours a day, 5 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 sampie of
five workers is selected and their output recorded on each shift. At the 0.05 significance level, can we conclude there is a difference in
the mean production rate by shift or by employee?
Units Produced
Day Afternoon
33
39
Night
Employee
Skaff
Lum
Clark
Treece
Morgan
35
39
33
37
37
20
22
25
22
38
25
39
21
Transcribed Image Text:Chapin Manufacturing Company operates 24 hours a day, 5 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 sampie of five workers is selected and their output recorded on each shift. At the 0.05 significance level, can we conclude there is a difference in the mean production rate by shift or by employee? Units Produced Day Afternoon 33 39 Night Employee Skaff Lum Clark Treece Morgan 35 39 33 37 37 20 22 25 22 38 25 39 21
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