Nonparametric Statistics for Applied Research by Jared A Linebach, Brian P Tesch, Lea M Kovacsiss (Paperback, 2016)

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The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods.