The Meyer-Dwass test is a statistical method used for comparing multiple groups to determine if there are differences in their distributions. It is a non-parametric test, making it useful when the assumptions of parametric tests (like ANOVA) are not met — such as when the data does not follow a normal distribution. The Meyer-Dwass test is often used in scenarios where researchers want to assess whether different groups have different medians or distributions but without the constraints of normality.
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