distribution-free test
distribution-free method
distribution-free estimate
distribution-free approach
being distribution-free
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using distribution-free
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distribution-free procedure
we used a distribution-free test because the data didn't meet normality assumptions.
the mann-whitney u test is a popular distribution-free alternative to the t-test.
distribution-free methods are useful when dealing with non-normal data.
a distribution-free approach avoids relying on assumptions about data distribution.
the wilcoxon signed-rank test is a distribution-free test for paired data.
researchers often choose distribution-free tests for small sample sizes.
this analysis employed a distribution-free approach to avoid parametric assumptions.
the kruskal-wallis test is a non-parametric, distribution-free alternative.
we opted for a distribution-free test given the skewed data distribution.
distribution-free tests are robust to violations of normality assumptions.
the spearman rank correlation is a distribution-free measure of association.
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