How do non-parametric statistical methods deal with outliers compared to parametric methods?

They are more robust to outliers
They are more sensitive to outliers
They don't handle outliers
They eliminate outliers before analysis

Non-parametric statistical methods are more robust to outliers compared to parametric methods. This is because non-parametric tests often use medians and ranks, which are less sensitive to extreme values, compared to means which are used in parametric tests.

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