# Which within-subject non-parametric test?

I have to do a non-parametric test on data because the distribution is not normal. The data is about the effectiveness of 2 different Aphasia therapies.

There are 54 Aphasia patients tested before any treatment, after treatment type A and after treatment type B. Each patient has undergone both treatments.

I'm doubting between a Wilcoxon-signed-rank and a Friedman's Anova. Can anyone help me? I think I have to do the Wilcoxon compairing the pre-test with treatment type A scores and again compairing the pre-test with treatment type B scores, but I'm not sure.

The Wilcoxon signed-rank test is used when there are a pair of repeated measurements. It is the non-parametric equivalent of the paired(/related) samples $t$-test.