Calculating Joint Conditional Probability with Independent Variables

AI Thread Summary
To calculate P(A|x,y) using the provided probabilities, the formula P(A|x,y) = P(x,y|A) * P(A) / P(x,y) is applied. Given that x and y are independent, P(x,y) can be expressed as P(x) * P(y). The user seeks confirmation on the correctness of their approach, indicating uncertainty in their understanding of probability concepts. The calculations appear to be on the right track, but further clarification on the independence assumption may be necessary for complete accuracy. Overall, the discussion revolves around verifying the application of conditional probability in the context of independent variables.
Invincible9
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Homework Statement


I have access to P(x|A) and P(y|A), P(x), P(y) and P(A), in addition to the knowledge that x and y are independent variables. I am interested in finding P(A|x,y).

The Attempt at a Solution



I think that
P(A|x,y) = P(x,y|A) * P(A) / P(x,y) = P(x,y|A) * P(A) / (P(x)*P(y))

I am not particularly good at probability and am dealing with probabilities after considerable time, would like to know if i am doing anything wrong or is my answer correct.
 
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It looks good to me.
 
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