Question
The following data are from a completely randomized design. Treatment A B C 162 144 126 141 157 121 165 128 137 145 144 141
The following data are from a completely randomized design.
Treatment | |||
A | B | C | |
162 | 144 | 126 | |
141 | 157 | 121 | |
165 | 128 | 137 | |
145 | 144 | 141 | |
148 | 138 | 151 | |
175 | 141 | 140 | |
Sample mean | 156 | 142 | 136 |
Sample variance | 177.6 | 89.2 | 118.4 |
a. Compute the sum of squares between treatments (to the nearest whole number).
b. Compute the mean square between treatments (to decimal).
c. Compute the sum of squares due to error (to the nearest whole number).
d. Compute the mean square due to error (to decimal).
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 level of significance, test whether the means for the three treatments are equal.
Calculate the value of the test statistic (to 2 decimals). The p-value is
What is your conclusion?
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