Q. 3.8

Question

Show that 

P(HE)P(GE)=P(H)P(G)P(EH)P(EG)

Suppose that, before new evidence is observed, the hypothesis H is three times as likely to be true as is the hypothesis G.

 If the new evidence is twice as likely when G is true as it is when H is true, which hypothesis is more likely after the evidence has been observed?

Step-by-Step Solution

Verified
Answer

We use the definition of condition probability, P(H|E)>P(G|E) this follows and proven in the equation.

1Step1: Definition of Condition probability

The possibility of a happening or outcome occurring supported by the occurrence of a preceding event or outcome is understood as a contingent probability. 

The updated probability of the next or conditional, event is multiplied by the probability of the preceding, or conditional, event to get introduce contingent probability.

2Step2: Prove the statement


Prove:

P(HE)P(GE)=P(H)P(G)×P(EH)P(EG)

P(B) isn't capable 0 for occurrences Aand B

P(AB)=P(AB)P(B)

Begin with the LHS and apply the definition:

P(H|E)P(G|E)=P(HE)P(E)P(GE)P(E)

=P(HE)P(GE)

and on the RHS, using the identical definition:

P(G)P(H)×P(E|H)P(E|G)=P(H)P(G)×P(HE)P(H)P(GE)P(G)

==P(HE)P(GE)

As a result, it's been established.


3Step3: To search out P ( H ∣ E ) > P ( G ∣ E ) this follows and proven within the equation.

The following statements are converted into mathematical equations.

P(H)=3P(G)

P(E|G)=2P(E|H)

Using the formula,

P(H|E)P(G|E)=P(H)P(G)×P(E|H)P(E|G)=P(H)P(G)×P(E|H)P(E|G)

Replace the given facts together with your own.

P(H|E)P(G|E)=3P(G)P(G)×P(E|H)2P(E|H)=3×12=1.5

multiplying by P(G|E) and equating the primary and last expressions:

P(H|E)=1.5×P(G|E)  P(HE)>P(GE)