Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST =10,800; SSTR =4550. a. Set up the ANOVA table for this problem (to 2 decimals but p-value to 4 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square Treatments Error 000 000 The p-value is Select your answer - + F p-value Total b.Use a = 0.05 to test for any significant difference in the means for the three assembly methods. Calculate the value of the test statistic (to 2 decimals).

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Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly
with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method
was used by 10 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting
data set. The following results were obtained: SST=10,800; SSTR =4550.
a. Set up the ANOVA table for this problem (to 2 decimals but p-value to 4 decimals, if necessary).
Source of Variation Sum of Squares Degrees of Freedom Mean Square
Treatments
Error
Total
1000
000
The p-value is - Select your answer - +
What is your conclusion?
- Select your answer -
F
b.Use a = 0.05 to test for any significant difference in the means for the three assembly methods.
Calculate the value of the test statistic (to 2 decimals).
+
p-value
Check My Work (5 remaining)
Transcribed Image Text:Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST=10,800; SSTR =4550. a. Set up the ANOVA table for this problem (to 2 decimals but p-value to 4 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square Treatments Error Total 1000 000 The p-value is - Select your answer - + What is your conclusion? - Select your answer - F b.Use a = 0.05 to test for any significant difference in the means for the three assembly methods. Calculate the value of the test statistic (to 2 decimals). + p-value Check My Work (5 remaining)
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