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 usedby 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 = 12,120; SSTR = 4,540.(a) Set up the ANOVA table for this problem. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)SourceSumMeanDegreesof FreedomFp-valueof Variationof SquaresSquareTreatments454022709.88Error758033229.70Total1212035(b) Use a = 0.05 to test for any significant difference in the means for the three assembly methods.State the null and alternative hypotheses.Ho: H1 = "2 = H3Ha: H1 * 42 + H3Ho: H1 # H2 # 43Ha: H1 = #2 = #3Ho: Not all the population means are equal.Ha: H1 = 42 = #3Ho: At least two of the population means are equal.Ha: At least two of the population means are different.Ho: H1 = "2 = H3Ha: Not all the population means are equal.Find the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to four decimal places.)p-value =

Null and alternative hypothesis: Test statistic:

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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