1. K sample problems and non-parametric tests

2. Two-Sample T-test (unpaired)

3. K-Sample

4. Equal variances? If NOT!!!

5. K-Sample Output P-value

6. A Small Trick (Post Hoc)

7. OK OK, I’ll use another data set

8. Normal data? How do I check the assumption of normality? You already know Q-Q plots Kolmogorov-Smirnov (K-S) test

9. Normal distributed?

10. Output Data are not normal But QQ-plots are better!!

11. Non-Normal Data Observations Ranks

12. Statistics on Ranks Rank 14 26 37 510 812 913 1116 1417 1519 1820 Mean Ranks should be close if the two distributions are located similarly 8.6 12.4

13. How to do it in SPSS

15. Output Mann-Whitney Test

16. K-samples test

17. Output Kruskal-Wallis Test

18. Overview (normal samples) One sample Two samples (paired) K samples Two samples (unpaired)

19. Overview (non normal samples) One sample Two samples (paired) K samples Two samples (unpaired)