Nonparametric tests can be appropriate for quantitative data when:
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one or more of the assumptions underlying a particular parametric statistical test has been violated.
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the sample size is very large.
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the underlying population can be assumed to be normally distributed.
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all of the assumptions for a particular parametric statistical test have been met.