What does it mean when we say a non-parametric test makes fewer assumptions about the data distribution?
- The data distribution must be known
- The data does not have to follow a specific distribution, such as normal
- The data must be normally distributed
- The data must be uniformly distributed
When we say a non-parametric test makes fewer assumptions about the data distribution, we mean that the data does not have to follow a specific distribution, such as the normal distribution. Non-parametric tests are distribution-free tests and make no assumption about the probability distribution of the variables.
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