Originally Posted by

**FoosJunkie** Hello all,

Experimental design:

8 subjects, each run through 6 identical trials in a pre-test. Measures were collected from each trial.

Each of the subjects was then put through a treatment (exercise program).

The 8 subjects then returned for another 6 identical trials for a post-test.

To analyze this data, it would appear (from what I've been reading) that the most appropriate test would be a 2-sample paired T-test. Can anyone confirm this? I know that this is based on the assumption that the data is normally distributed - how do I go about checking this assumption? I'm using Minitab v15.

Additionally, what do I do if it turns out the data is not normally distributed? Again, from what I've been reading, it would appear that I should attempt to transform the data, and that if this fails, I should use a non-parametric test (Wilcoxon in this case, I believe). Can anyone confirm this as well?

Your speedy help on this matter would be greatly appreciated =)

Cheers,

Mario