Very simple proof of P(A) > P(B)

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To prove that P(A) > P(B) given P(A|C) > P(B|C) and P(A|¬C) > P(B|¬C), one can utilize the law of total probability. The overall probabilities can be expressed as P(A) = P(A|C)P(C) + P(A|¬C)P(¬C) and P(B) = P(B|C)P(C) + P(B|¬C)P(¬C). Since both conditional probabilities for A are greater than those for B, and the probabilities of C and ¬C are non-negative, it follows that P(A) must be greater than P(B). The proof can be formalized by substituting the expressions and demonstrating that the inequalities hold true under the given conditions. Thus, it is mathematically valid to conclude that P(A) > P(B).
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Homework Statement


Given that P(A|C) > P(B|C) and P(A|\bar{C}) > P(B|\bar{C}), prove that P(A) > P(B)

Homework Equations


How do I write the proof formally?

The Attempt at a Solution


This seems to me intuitively obvious. There are only two sample spaces, either C occurs or does not occur. In both instances, A has a higher chance of ocurrence than B. So how can P(A) NOT be always greater than P(B)? I have been told that P(A) > P(B) can be proven mathematically. However I'm not good at formal proofs. Can anyone help me write this out in mathematical form?

Many thanks!
 
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I'd try something like this:
P(A) = P(B) [ P(A | B) / P(B | A) ]
What can you say about the bracketed term, possibly using that
P(A \mid B) = \frac{P(A \cap B)}{P(B)}

Not guaranteed to work, but it might.
 
Remember that P(A or B) = P(A) + P(B) - P(A and B).
 
I managed to work this proof down to P(A)-P(AUC)> P(B)-P(BUC) and P(A)-P(AU~C) > P(B)-P(BU~C) but I am not sure where to go from there!
 
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