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 = 10,720; SSTR = 4,510. Set up the ANOVA table for this problem (to 2 decimals, if necessary). Round p-value to four decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total Use = .05 to test for any significant difference in the means for the three assembly methods. The p-value is Selectless than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 11 What is your conclusion? SelectConclude not all means of the three assembly methods are equal can not reject the assumption that the means of all three assembly methods are equalItem 12
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 = 10,720; SSTR = 4,510. Set up the ANOVA table for this problem (to 2 decimals, if necessary). Round p-value to four decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total Use = .05 to test for any significant difference in the means for the three assembly methods. The p-value is Selectless than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 11 What is your conclusion? SelectConclude not all means of the three assembly methods are equal can not reject the assumption that the means of all three assembly methods are equalItem 12
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 = 10,720; SSTR = 4,510.
- Set up the ANOVA table for this problem (to 2 decimals, if necessary). Round p-value to four decimal places.
Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total - Use = .05 to test for any significant difference in the means for the three assembly methods.
The p-value is Selectless than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 11
What is your conclusion?
SelectConclude not all means of the three assembly methods are equal can not reject the assumption that the means of all three assembly methods are equalItem 12
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