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When interpreting the results of a nonparametric test, it's important to: When interpreting the results of a nonparametric test, it's important to: Consider the effect
When interpreting the results of a nonparametric test, it's important to: When interpreting the results of a nonparametric test, it's important to: Consider the effect size and confidence intervals for a more complete picture. Focus solely on the rejection or non-rejection of the null hypothesis. Report the p-value without further explanation
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