I suspect my corner pub of short-changing its customers. Over the course of 20 very scientific visits, I order a total of 50 pints (1 pint = 568 mL). I measure each one exactly with a volumetric flask. The average volume per 'pint' at this pub is 558 mL, and the standard deviation is 5 mL. What would the p-value of a one-sided hypothesis test measure in this example? Group of answer choices The probability that the pub pouring pints that are too small. The probability that the pub is pouring pints that are either too large or too small. The probability that I would see 50 pints exactly this small by chance, if the pub were in fact pouring right-sized pints. The probability that I would see 50 pints this small or smaller, if the pub were in fact pouring right-sized pints. Flag question: Question 10 Question 10 1 pts Which of the values below would be a plausible p-value for the test? Group of answer choices Exactly 0 Something very close to zero, like 1 in a billion Something small, like 0.05 Something large, like 0.95 Flag question: Question 11 Question 11 1 pts If we reject the null hypothesis, what do we conclude? Group of answer choices The pub is pouring fair pints, on average. The pub is pouring pints that are 10mL too small, on average. The pub is pouring too small, but we do not know by what amount. We do not know whether the pub is pouring too small, too large, or correctly, but we cannot rule out 'correctly