Final answer:
Friedman's test is the non-parametric alternative to one-way repeated measures ANOVA, not a two-way ANOVA. It is used when the data does not meet the assumptions of normality, and for ranked or ordinal data.
Step-by-step explanation:
Friedman's test is a non-parametric test often compared to repeated measures ANOVA; however, it is not specifically used for a two-way repeated measures ANOVA. Instead, Friedman's test is used for one-way repeated measures analysis on ranked data (ordinal data) or when the assumption of normality is not met. It handles the comparison of more than two related groups, typically to assess the differences across multiple test attempts or conditions. If the question refers to comparing the means of two or more groups under different conditions, the appropriate statement should be, "Friedman's test is a non-parametric alternative to one-way repeated measures ANOVA."