I need help analyzing and computing the data found in the attached spreadsheet.

A manufacturing company has been selected to assemble a small but important component that will be used during the construction of numerous infrastructure projects. The company anticipates the need to assemble several million components over the next several years. Company engineers select three potential assembly methods: Method A, Method B, and Method C. Management would like to select the method that produces the fewest number parts per 10,000 parts produced that do not meet specifications. It may also be possible that there is no statistical difference between the three methods in which case the lowest cost method will be selected for production. While all parts are checked before leaving the factory, the best method will reduce the number of parts that need to be recycled back into the production process.

To test each method, six batches of 10,000 components are produced using each of the three methods. The number of components out of specification are recorded in the Microsoft Excel Online file below. Analyze the data to determine if there is any difference in the mean number of components that are out of specification among the three methods

A D E F G H K M ANOVA Completely Randomized Design Batch Method A Method B Method C 163 145 123 142 156 122 DO VOUTAWNY 166 126 132 D UI A WN- 145 145 147 149 133 155 171 147 125 Formulas 10 Sample Size Sample Size #N/A #NIA #N/A 11 Sum Sum #NIA #N/A #N/A 12 Sample Mean Sample Mean #N/A #N/A #N/A 13 Sample Variance Sample Variance #N/A #N/A #N/A 14 Sample Standard Deviation Sample Standard Deviation #N/A #N/A #N/A 15 16 Grand Mean Grand Mean #N/A 17 Group Count Group Count #N/A 18 Observation Count Observation Count #N/A 19 20 Source of Variation Sum of Squares df Mean Square F p-value Source of Variation Sum of Squares df Mean Square F p-value 21 Treatments (Methods) Treatments #N/A #N/A #N/A #N/A #N/A 22 Error Error #N/A #N/A IN/A 23 Total Total #N/A 24 25 Level of significance 0.01 Level of significance 0.01 26 Reject null? Reject null? #N/A 27 Are the means equal? Are the means equal? #N/A 28 29 30 31a. Compute the sum of squares between treatments (assembly methods). b. Compute the mean square between treatments (to 1 decimal if necessary). c. Compute the sum of squares due to error. d. Compute the mean square due to error (to 1 decimal if necessary). e. Set up the ANOVA table for this problem. Round all sum of squares to the nearest whole number. Round all Mean Squares to one decimal place. Round F to two decimal places. Source of Variation Sum of Squares |Degrees of Freedom Mean Square F Treatments (Methods) Error Total f. At the a = 0.01 level of significance, test whether the means for the three methods are equal. Calculate the value of the test statistic (to 2 decimals). The p-value is (to 4 decimals): What is your conclusion for management