In: Statistics and Probability
Given the following sample information, test the hypothesis that the treatment means are equal at the 0.01 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 = μ2 = μ3
H1 : Treatment means are not all the same.
b. What is the decision rule? (Round the final answer to 2 decimal places.)
Reject H0 if F > 5.78.
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 | 2 | |||||
Error | 21 | |||||
Total | 23 | |||||
e. State your decision regarding the null hypothesis.
Decision: 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 different.
CONSTRUCTION OF ANOVA TABLE | |||||
VARIANCE RATIO | |||||
SOURCE OF VARIATION DUE TO | d.f | S.S | M.S.S | Fcal | Fcri |
TREATMENT | 2 | 46.96 | 23.48 | 9.30 | 19.44 |
ERROR | 21 | 53.00 | 2.52 | ||
TOTAL | 23 | 99.96 |
Since Fcal < Fcri; So we Accept H0 at 5% Level of Significant.
Therefore we conclude that " The Effect of Treatments are Homogeneous".
NOTE: The Fcri value is Extracted from the tabulated value of F. In the see the instersection value of (2, 20-24), we will get 19.44 and 19.45.