In which situations would you use the Kruskal-Wallis Test instead of ANOVA?
- When data is normally distributed
- When sample sizes are large
- When the assumptions of ANOVA are violated
- When there is only one independent variable
You would use the Kruskal-Wallis Test when the assumptions of ANOVA (like normality or equal variances) are violated.
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