In general, nonparametric tests have fewer requirements or assumptions about population characteristics than parametric tests do.

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Nonparametric tests do not assume the population follows a specific distribution or has specific parameters such as mean and variance. Therefore, they have fewer requirements or assumptions about population characteristics than parametric tests, which generally assume normality and homogeneity of variance.

In General, Nonparametric Tests Have Fewer Requirements or Assumptions About