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Incorrect interpretation of p-value #18370

@lelayf

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@lelayf

So the p-value is about 0.009, which says the null hypothesis has a

A p-value is not the probability of the null hypothesis being true. I think the wording in the documentation could be improved to read like this:

The p-value is about 0.009, which says there is about 1% chance of observing values as extreme as those observed in our intake, conditionally on the null hypothesis of equal means being true. Therefore, the experimenter would reject the null hypothesis at the 5% significance level.

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