What are the differences between the most common statistical hypothesis tests?
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The tests **measure different things** with **different assumptions**. Normal tests typically measure the potential statistically significant difference in sample versus actual mean when the underlying distribution is known to be normal. Student-t measures potential differences in means when the sample size is small or the underlying distribution is approaching, but not guaranteed to be a normal. F-test is used to compare distributions, and so on.
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