(a) here the null hypothesis H0: mu_low=mu_medium=mu_high
alternate hypothesis Ha: atleast one mu is different from others
the p-value=0.0064 of the between groups is less than typical level of significance alpha=0.05, so we reject the null hypothesis H0
( or equivalently the observed F=6.48 is more than critical F=3.47, so we reject H0)
(b) if the difference is more than HSD, then that comparison will be significant and it is found that Low HS is different than High HS.
comparison | difference | HSD | Remarks | |
Low | Medium | 4.5 | 7.227 | Non-significant |
Low | High | 10.25 | 7.227 | Significant |
Medium | High | 5.75 | 7.227 | Non-significant |
(c) effect size=between group SS/ Total SS=422.33/684.625=0.6169
(d) larger values eta-squared leads the significant differences among the treatments
giving 0.01 (small), 0.09 (medium) and 0.25 (large)
following one way anova information has been generated using ms-excel
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Low | 8 | 75 | 9.375 | 15.69643 | ||
medium | 8 | 111 | 13.875 | 54.98214 | ||
High | 8 | 157 | 19.625 | 27.125 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 422.3333 | 2 | 211.1667 | 6.477269 | 0.00644 | 3.4668 |
Within Groups | 684.625 | 21 | 32.60119 | |||
Total | 1106.958 | 23 |
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