"I've been confused about this for a while but I think I've got it!" Super Size suddenly says with satisfaction. "A p-va

[answerhappygod]

"I've been confused about this for a while but I think I've got
it!" Super Size suddenly says with satisfaction. "A p-value of 0.4
means that the probability of the null being true given your data
is 40%, and the probability of the alternative being true is 60%.
We try to minimize Type I error by setting alpha equal to p only
when p is less than 0.05." He looks anxiously. "Is that right?"
Can you answer Super Size? In your answer, state clearly whether
he is correct or not and explain why. (Be sure to address all of
the parts of his statement) In your answer, describe clearly how
the p-value relates to the null and alternative hypotheses, as well
as alpha.