What are non-parametric methods in statistics?

What are non-parametric methods in statistics?

Non-parametric methods are statistical techniques that do not assume a specific distribution for the data. They are useful when data doesn't meet the assumptions of parametric tests.

Can you give me some examples of non-parametric methods?

Sure! Common examples include the Wilcoxon rank-sum test, Kruskal-Wallis test, and the Mann-Whitney U test.

When should I use non-parametric methods instead of parametric methods?

You should use non-parametric methods when your data is ordinal, not normally distributed, or when you have small sample sizes.

Are there any advantages to using non-parametric methods?

Yes, they are more flexible and can be applied to a wider range of data types, making them robust against violations of assumptions.