Oh, sorry, I did not want to ask if you have a degree, only if you know enough set theory. Okay, ignore my mistakes in english, I hope you can understand the ideas:
Okay let's work with set theory then. a is actually quite trivial but I'll try to give you an idea how to prove it:
Pr(E | H) = Pr(H ∩ E)/Pr(H) (Definition of baysian probability)
=> Pr(H ∩ E) = Pr(E | H)*Pr(H) (just simple transformation)
As Pr(E | H) has a value range in the interval [0;1] (it's a probability function), obviously it follows:
Pr(H ∩ E) <= Pr(E | H)*Pr(H)
Because of Pr(H | E)=Pr(H ∩ E)/Pr(E), the second part of a) follows trivially.
for b) you just need the equations and knew two things:
H → ¬E -> (H ∩ E) = {} and Pr ( {} )=0 ({} being the empty set)
c) Obviously (H ∩ E) and (H^(c) ∩ E) are disjoint sets, so you can use Sigma additivity (H^(c) being the complement of H) . Do you know where to go from there?
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