👉 Non-parametric statistics are statistical methods that do not require that data be distributed according to a given probability distribution. Instead, they rely on assumptions about the nature of the data and can be used for a wide range of applications. Non-parametric methods can be useful in situations where traditional parametric methods may not provide adequate results or if there is a lack of statistical significance.
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