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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 =10,750; SSTR=4,550. 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 Error Total b.Use a= .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). The p-value is Select your answer What is your conclusion? Select your answer To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow. Temperature 50C 60C 70C 36 33 24 26 34 29 38 37 29 41 26 31 34 30 32 a. Construct an analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary). F Source of Variation Sum of Squares Degrees of Freedom Mean Square p-value Treatments Error Total b. Use a .05 level of significance to test whether the temperature level has an effect on the mean yield of the process. Calculate the value of the test statistic (to 2 decimals). The p-value is Select your answer What is your conclusion? Select your