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  • https://stats.libretexts.org/Courses/Las_Positas_College/Math_40%3A_Statistics_and_Probability/12%3A_Nonparametric_Statistics
    Because distribution-free tests do not assume normality, they can be less susceptible to non-normality and extreme values. Therefore, they can be more powerful than the standard tests of means that as...Because distribution-free tests do not assume normality, they can be less susceptible to non-normality and extreme values. Therefore, they can be more powerful than the standard tests of means that assume normality.

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