Rank sum refers to the total of the ranks assigned to observations in a non-parametric statistical test, often used to compare two independent samples. In this context, the rank sum is crucial because it allows researchers to evaluate whether there are significant differences between the two groups without making assumptions about the underlying distributions. This method is particularly useful when data do not meet the requirements for parametric tests.
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