No idea how to do this, please help :) Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with eachmethod, 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 wereobtained: SST=10,810; SSTR =4580.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 SquareTreatmentsErrorTotal2FThe p-value is less than 0.01What is your conclusion?Conclude not all means of the three assembly methods are equal9.87b.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.0001

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Answered: Three different methods for assembling…

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, 36 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 12 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 = 12,400; SSTR = 4,550.
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 =4540. 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 F Treatments Error Total 000 The p-value is - Select your answer - What is your conclusion? - Select your answer - p-value 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).
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 tothe resulting data set. The following results were obtained: SST = 10,800; SSTR = 4560.a. Set up the ANOVA table for this problem.b. Use α = .05 to test for any significant difference in the means for the three assembly methods.
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 by10 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:10,700 SSTR:4500 a. Set up the ANOVA table for this problem (to 2 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value (to 4 decimals) Treatments…
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 employeeswere randomly selected and randomly assigned to the three proposed methods in such away that each method was used by 10 workers. The number of units assembled correctlywas recorded, and the analysis of variance procedure was applied to the resulting data set.The following results were obtained: SST = 10,800; SSTR = 4560.a. Set up the ANOVA table for this problem
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 = 4560. 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…
Consider a study in which the sum of squares based on an experimental group of 10 participants is 70, and the sum of squares based on a control group of 20 participants is 50. The pooled variance of this study is
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