Probability Q: Show A & B Independent

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Homework Help Overview

The discussion revolves around the concept of independence in probability, specifically examining the condition that P(A|B) = P(A|B^c) and its implications for proving that events A and B are independent.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the definitions of independent events and the relationship between conditional probabilities and joint probabilities. There is a focus on how to manipulate the given condition to arrive at the independence criterion.

Discussion Status

The discussion is active, with participants clarifying the problem statement and definitions. Some guidance has been provided regarding the relationship between conditional probabilities and independence, but no consensus or resolution has been reached yet.

Contextual Notes

Participants are working under the assumption that both P(B) and P(B^c) are greater than zero, which is crucial for the discussion of conditional probabilities.

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Homework Statement



Suppose
P(A|B) = P(A|B^c)
(P(B) > 0 and P(B^c) > 0 both understood). Show that A and B are independent.

Homework Equations


The Attempt at a Solution



I don't know where to go from here. Thanks for any help

[itex]\frac{P(A \bigcap B)}{P(B)} = \frac{P(A \bigcap B^{c})}{P(B^{c})}[/itex]
 
Last edited:
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Please restate (in fact, go back are reread) the problem. As you have it now it says "Suppose A and B are independent. Show that A and B are independent"!
 
Ok sorry about that I fixed that. Thanks for helping me.
 
Okay, good. Now what is your definition of "independent events"?
 
P(A intersection B) = P(A)P(B)

not sure what to do from here because it's conditional probabilities.
 
Good! So you are given that [itex]P(A|B)= P(A|B^c)[/itex] and want to prove that [itex]P(A\cap B)= P(A)P(B)[/itex].

You should know, then, that [itex]P(A)= P(A|B)P(B)+ P(A|B^c)B^c[/itex], for any A and B. Further, [itex]P(B^c)= 1- P(B)[/itex].

(The reason I asked about the definition was that some texts use "P(A)= P(A|B)" as the definition of "A and B are independent. Of course it is easy to show that is equivalent to your "[itex]P(A\cap <br /> B)= P(A)P(B)[/itex]".)
 

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