


Step 2: Summary Statistics
Stat > Basic Statistics > Display Descriptive Statistics, Variable=Survival, By variables=cancer, Statistics > check IQR
Because we used a transformation we base the table on median and iqr/1.35
| Groups | n | Median | IQR/1.35 |
|---|---|---|---|
| Stomach | 13 | 124 | 266 |
| Bronchus | 17 | 155 | 131 |
| Colon | 17 | 372 | 255 |
| Ovary | 6 | 406 | 1107 |
| Breast | 11 | 1166 | 804 |
Step 3: Hypothesis Test
Stat > ANOVA > Oneway, Response=Sqrt(Survival), Factor=Cancer, Graphs > Residual vs. Fits Plot and Normal Plot


both plots look ok, no problems with the assumptions, the transformations have worked
1) a=0.05
2) H0: a1 = .. = a5=0 (no difference in the mean survival times of different cancers)
3) Ha: ai≠0 for some i (some differences in the mean survival times of different cancers)
4) p-value=0.000 < a
5) We reject H0, there are some differences in the mean survival times of different cancers
Step 4: Multiple Comparison
Stat > ANOVA > Oneway, Response=Sqrt(Survival), Factor=Cancer, Comparisons > check Tukey
| Stomach | Bronchus | Colon | Ovary | Breast |
| ______________________________ | ||||
| ____________ | ||||
Interpretation: There is a stat. signif. difference between the mean survival times of Breast cancer and Stomach, Bronchus and Colon cancers. Other differences are not stat. signif., at least not at these sample sizes.