Nonparametric statistics require quantitative dependent variables and are usually applied when these variables are measured on a level that at least approximates interval characteristics.

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Nonparametric statistics are typically used when data do not meet the assumptions of parametric tests, often involving ordinal or nominal data, not necessarily requiring interval-level measurement.

Nonparametric Statistics Require Quantitative Dependent Variables and Are Usually Applied