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 =10,830; SSTR =4550. a. Set up the ANOVA table for this problem (to 2 decimals but p-value to 4 decimals, if necessary). Activity Frame Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments 4550 2 2275 0.004 Error 6280 27 232.59 Total 10,830 29 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). The p-value is | between 0.05 and 0.10 % What is your conclusion? | Conclude not all means of the three assembly methods are equal v