Proof of the complement of a conditional probability

$\begingroup$

I was asked to show that $$Pr(A|B) = 1 - Pr(A|B^c)$$ but I cannot find a relation between them, I also saw that $$Pr(A|B) = 1 - Pr(A^c|B)$$ so I'm not really sure about the equation that i was asked to proof, if anyone has any advice would be great.

$\endgroup$ 1

2 Answers

$\begingroup$

The first one is false.

The second expression is true.

To prove: $P(A|B) = 1-P(A^c|B)$

By definition:

$P(A|B) = \frac{P(AB)}{P(B)}$

$1 - P(A^c|B) = 1 - \frac{P(A^cB)}{P(B)}$

So you have to prove:

$\frac{P(AB)}{P(B)} = 1 - \frac{P(A^cB)}{P(B)}$

Multiply through by $P(B)$ and get

$P(AB) = P(B) - P(A^cB)$

$P(AB) + P(A^cB) = P(B)$

Since the two terms on the LHS are mutually exclusive you can do:

$P(AB \cup A^cB) = P(B)$

And that completes the proof.

$\endgroup$ $\begingroup$

Here's an easy way to show that the top equation is false: consider the case where $A$ and $B$ are independent, whence $\mathbb P(A \mid B) = \mathbb P(A \mid B^c) = \mathbb P(A)$. If $\mathbb P(A) \neq 1/2$, you have a problem.

$\endgroup$

Your Answer

Sign up or log in

Sign up using Google Sign up using Facebook Sign up using Email and Password

Post as a guest

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

You Might Also Like