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In frequentist hypothesis testing, the $p$-value is the probability of a result as extreme (or more) than the observed result, under the assumption that the null hypothesis is true.

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What is the right usage in Fisher test in R

So I have data in form (in real data I have more rows, of course so this is just a sample) >df <- structure(list(cake.eated = c(1, 0, 0, 1, 1, 1), is.it.weekend = c(1, 1, 1, 0, 1, 0)), + .Names = c( …
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