We do this by creating a random variable X ranging over all test sets. Now we ask how likely is it, if the null hypothesis H 0 was correct, that among these test sets we would encounter the value of δ (x) that we found. We formalize this likelihood as the p-value: the probability, assuming the null hypothesis H 0 is true, of seeing p-value the δ (x) that we saw or one even greater