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Say no to BAYES
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A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.

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So I looked into the definition of P and it can depend on variance if you assume gaussian distribution.
I wouldn't know how you would get a P value for 2 different distribution with similar means. I can come up with the null hypothesis being that group a and group b are the same, but then idk how to relate that to a probability of given mean and variance of A is B.
In general you need to know the distribution in order to calculate p values, though there are statistical methods for deciding - with some confidence level - whether a sample conforms to some distribution.