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 |