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 10,840; SSTR =4570. 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 p-value Treatments Error Total Use a - 0.05 to test for any significant difference in the means for the three assembly methods. alculate the value of the test statistic (to 2 decimals). e p-value is Select your answer hat is your conclusion? Select your answer- 00 00
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 10,840; SSTR =4570. 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 p-value Treatments Error Total Use a - 0.05 to test for any significant difference in the means for the three assembly methods. alculate the value of the test statistic (to 2 decimals). e p-value is Select your answer hat is your conclusion? Select your answer- 00 00
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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