In order to test experimental data via the Friedman (ANOVA by ranks), the design must be
A) between-subjects with independent assignment of subjects
B) repeated-measures
C) matched-subjects
D) both b and c, but not a

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The Friedman test is a non-parametric alternative to the one-way ANOVA with repeated measures. It is used when the data are not normally distributed. This test is appropriate for repeated-measures designs and matched-subjects designs, where the same subjects are used in all treatment conditions or subjects are matched in pairs or sets based on certain characteristics.

In Order to Test Experimental Data Via the Friedman (ANOVA