In: Statistics and Probability
The following is sample information. Test the hypothesis that the treatment means are equal. Use the 0.10 significance level.
| Treatment 1 | Treatment 2 | Treatment 3 | 
| 5 | 10 | 5 | 
| 3 | 8 | 5 | 
| 10 | 10 | 8 | 
| 10 | 6 | 3 | 
b. What is the decision rule? (Round the final answer to 2 decimal places.)
Reject H0 if the test statistic is greater than?...
c. Compute SST, SSE, and SS total. (Round the final answers to 3 decimal places.)
SST =
SSE =
SS total =
d. Complete the ANOVA table. (Round the SS, MS, and F values to 3 decimal places.)
| Source | SS | DF | MS | F | 
| Treatment | ||||
| Error | ||||
| Total | ||||
using excel >data>data analysis>Anova sinngle Factor
we have
| Anova: Single Factor | ||||||
| SUMMARY | ||||||
| Groups | Count | Sum | Average | Variance | ||
| Treatment 1 | 4 | 28 | 7 | 12.66667 | ||
| Treatment 2 | 4 | 34 | 8.5 | 3.666667 | ||
| Treatment 3 | 4 | 21 | 5.25 | 4.25 | ||
| ANOVA | ||||||
| Source of Variation | SS | df | MS | F | P-value | F crit | 
| Treatment | 21.16667 | 2 | 10.58333 | 1.54251 | 0.265447 | 4.256495 | 
| Error | 61.75 | 9 | 6.861111 | |||
| Total | 82.91667 | 11 | 
b. the decision rule is
Reject H0 if the test statistic is greater than 4.26
c. Compute SST, SSE, and SS total.
SST = 21.167
SSE = 61.750
SS total = 82.917
d. Complete the ANOVA table. (Round the SS, MS, and F values to 3 decimal places.)
| Source of Variation | SS | df | MS | F | 
| Treatment | 21.16667 | 2 | 10.583 | 1.543 | 
| Error | 61.75 | 9 | 6.861 | |
| Total | 82.917 | 11 |