"stars"). The use of nonparametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, nonparametric methods result in ordinal data.

As nonparametric methods make fewer assumptions, their applicability is much more general than the corresponding