Nonparametric methods can be applied to a wider variety of s because they have less rigid requirements than parametric methods.

Name: Nonparametric methods can be applied to a wider variety of s because they have less rigid requirements than parametric methods.
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Nonparametric methods do not require assumptions about the underlying distribution of the data, making them applicable to a wider range of data types and situations than parametric methods which require certain assumptions to be met.

Nonparametric Methods Can Be Applied to a Wider Variety of S