The following data are from a completely randomized design. Treatment A B C 162 142 126 142 156 122 165 124 138 145 142 140 148 136 150 174 152 128 Sample mean 156 142 134 Sample variance 164.4 131.2 110.4 a. Compute the sum of squares between treatments (to the nearest whole number). 144 b. Compute the mean square between treatments (to 1 decimal). 3 c. Compute the sum of squares due to error (to the nearest whole number). 1104 d. Compute the mean square due to error (to 1 decimal). 18 e. Set up the ANOVA table for this problem. Round all Sum of Squares to nearest whole numbers. Round all Mean Squares to one decimal place. Round F to two decimal places. Round your p-value to four decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total f. At the = 0.05 level of significance, test whether the means for the three treatments are equal. Calculate the value of the test statistic (to 2 decimals). 0.0022 The p-value is between 0.05 and 0.10 What is your conclusion? Do not reject the assumption that the means for all three treatments are equal