Its all about Complements.....

Let E C E^C denote the complement of an event E . Let E,F,G be pairwise independent events with P(G)>0 and P ( E F G ) = 0 P( E ∩ F ∩ G) = 0 . Then P ( E C F C G ) P( E^C ∩ F^C | G) equals

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P ( E ) P ( F C ) P (E) - P (F^C) P ( E C ) P ( F ) P (E^C) - P (F) P ( E C ) P ( F C ) P (E^C) - P (F^C) P ( E C ) + P ( F C ) P (E^C) + P (F^C)

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1 solution

P ( E C F C G ) = P ( E C F C G ) P ( G ) P( {E^C ∩ F^C} | {G} ) = \frac{P(E^C ∩ F^C ∩ G)}{P(G)} = P ( G ) P ( E G ) P ( G F ) P ( G ) = \frac{P(G) - P(E ∩ G) - P(G ∩ F)}{P(G)} = P ( G ) ( 1 P ( E ) P ( F ) ) P ( G ) [ P ( G ) 0 ] = \frac{P(G) - (1 - P(E) - P(F))}{P(G)} [P(G) \neq 0] = 1 P ( E ) P ( F ) = 1 - P(E) - P(F) = P ( E C ) P ( F ) = P(E^C) - P(F)

I think you are asking for conditional probability, which is written as P ( A B ) P ( A | B ) instead of P ( A B ) P ( \frac{A}{B} ) . Can you confirm if this is what you intended?

Calvin Lin Staff - 6 years, 7 months ago

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@Calvin Lin yes this is what i meant. and yes thanx for correcting it.

Harshvardhan Mehta - 6 years, 7 months ago

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No problem :) Can you update your solution to reflect this?

Calvin Lin Staff - 6 years, 7 months ago

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