In: Statistics and Probability
Given the following sample information, test the hypothesis that the treatment means are equal at the 0.10 significance level:
| Treatment 1 | Treatment 2 | Treatment 3 | 
| 3 | 9 | 6 | 
| 2 | 6 | 3 | 
| 5 | 5 | 5 | 
| 1 | 6 | 5 | 
| 3 | 8 | 5 | 
| 1 | 5 | 4 | 
| 4 | 1 | |
| 7 | 5 | |
| 6 | ||
| 4 | ||
a. State the null hypothesis and the alternative hypothesis.
H0 : μ1 (Click to select) = > < μ2 (Click to select) = > < μ3
H1 : Treatment means (Click to select) are not are all the same.
b. What is the decision rule? (Round the final answer to 2 decimal places.)
Reject H0 if F > .
c. Compute SST, SSE, and SS total. (Round the final answers to 2 decimal places.)
SST =
SSE =
SS total =
d. Complete the ANOVA table. (Round the
SS, MS, and F values to 2 decimal places.)
| Source | SS | DF | MS | F | ||
| Factor | ||||||
| Error | ||||||
| Total | ||||||
e. State your decision regarding the null hypothesis.
Decision: (Click to select) Reject Do not reject H0.
f.Find the 95% confidence interval for the difference between treatment 2 and 3. (Round the final answers to 2 decimal places.)
95% confidence interval is: ±
We can conclude that the treatments 2 and 3 are (Click to select) different the same .