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Bayes aspect compares the relative strength of evidence for the null versus the choice hypothesis rather then producing a conclusion about rejecting the null hypothesis or not.

Traditionally, frequentist statistics emphasizes null speculation significance testing and usually starts off with the idea of a real null hypothesis.

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In case your details violate these assumptions, you can perform correct knowledge transformations or use different non-parametric checks rather.

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