Nonparametric tests are methods of inference that make no assumptions whatsoever about the nature of underlying population distributions or their parameters.

Nonparametric tests are indeed methods of inference that do not require any assumptions about population distributions or parameters. Instead, they rely on rank-based or distribution-free statistics to draw conclusions about differences or relationships between variables.