Why is it incorrect to say "The p-value is the probability that the null hypothesis is true"?
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The p-value tells us how much the data conflicts with the null hypothesis, not the probability that the null is true.
it’s incorrect because the p-value is the probability of getting the sample result (or something more extreme) if the null hypothesis is true, not the probability that the null itself is true or false.