The following data are from a completely randomized design
The following data are from a completely randomized design.
Treatment |
| |||
A | B | C |
| |
162 | 147 | 123 |
| |
141 | 156 | 122 |
| |
168 | 127 | 137 |
| |
145 | 147 | 141 |
| |
147 | 138 | 155 |
| |
173 | 143 | 126 |
| |
Sample mean | 156 | 143 | 134 | |
Sample variance | 179.2 | 96.4 | 165.6 | |
Compute the sum of squares between treatments.
Compute the mean square between treatments.
Compute the sum of squares due to error.
Compute the mean square due to error (to 1 decimal).
Set up the ANOVA table for this problem. Round all Sum of Squares to nearest whole numbers. Round all Mean Squares to one decimal places. Round F to two decimal places.
Source of Variation
Sum of Squares
Degrees of Freedom
Mean Square
F
Treatments
Error
Total
At the = .05 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 Selectless than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 15
What is your conclusion?
10 years ago
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