Hypothesis testing is based on the idea that if there is enough of a difference between your experimental sample and the comparison distribution, you can see the research supports your hypothesis.
Describe an experiment in which you would expect there to be a very small difference between the experimental sample and the comparison distribution. How small of a difference could there be for you to still be okay with rejecting the hypothesis?
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