
Step 2: Summary Statistics
Stat > Basic Statistics > Display Descriptive Statistics, Variable=Score, By variables= Method
| Groups | n | Mean | Std |
|---|---|---|---|
| B | 3 | 66.33 | 10.79 |
| A | 5 | 76.00 | 5.87 |
| C | 3 | 87.00 | 8.00 |
Step 3: Hypothesis Test
Stat > ANOVA > Oneway, Response=Score, Factor=Method, Graphs > Residual vs. Fits Plot and Normal Plot
Change to Window Project Manager, select Graphs, Slect graphs you want, right-click, Choose Layout tool, Finish

both plots look ok, no problems with the assumptions
1) α=0.05
2) H0: α1 = α2 = α3=0 (no difference in the mean scores of the methods)
3) Ha: αi≠0 for some i (some differences in the mean scores of the methods)
4) p-value=0.037 < α
5) We reject H0, there are some differences in the mean scores of the methods
Step 4: Multiple Comparison
Stat > ANOVA > Oneway, Response=Score, Factor=Method, Comparisons > check Tukey
| B | A | C |
| _________ | ||
| _________ | ||
Interpretation: There is a stat. signif. difference between the mean scores of methods B and C. Other differences are not stat. signif., at least not at these sample sizes.