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: $ \text{SST} = 10,790; \, \text{SSTR} = 4520. $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 | p-value ||---------------------|----------------|--------------------|-------------|---|---------|| Treatments | | | | | || Error | | | | | || Total | | | | | |b. Use $ \alpha = 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).\[ \text{Test statistic:} \] \_\_\_\_\_\_\_The $ p $-value is $- \text{Select your answer} -$What is your conclusion?$- \text{Select your answer} -$

Solution: Given information: k= 3 groups Each group has 10 observation. n1=n2=n3=10n= 30 Total…

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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