Describe the assumptions on which non-parametric tests are based?

Non-parametric tests are statistical methods used to analyze data when the underlying distribution of the population is unknown or not normally distributed. These tests make fewer assumptions about the data compared to parametric tests, which rely on specific distributional assumptions. The key assumptions on which non-parametric tests are based include:

1. Independence: Non-parametric tests assume that the observations are independent of each other. This means that the values of one observation do not influence the values ____ _________ _____ ______ _____ ________ _________ ____ _______ _____.
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