Friedman Flashcards
Friedman’s 2-Way ANOVA
non-parametric test for finding differences in treatments across multiple attempts. It is a non-parametric test for analysing randomized complete block designs. It is an extension of the sign test when there may be more than two treatments. The Friedman test assumes that there are k experimental treatments (k > 2). The observations are arranged in b blocks, that is:
Friedman’s test is a non-parametric test for finding differences in treatments across multiple attempts. Nonparametric means the test doesn’t assume your data comes from a particular distribution (like the normal distribution). Basically, it’s used in place of the ANOVA test when you don’t know the distribution of your data.
Friedman’s test is a
To
calculate the test statistic, Minitab ranks the data separately within each block and sums the ranks for each treatment.
How to get £ri^2
Sum a^2
+ Sum b^2
+…..sum ie^2
How to get s
S= 12
——- £Ri^2. -3n(K+1)
nk(k+1)
How to get a adjusted
1-
€i(t^3i-ti
————-
n(k^3-k)