Finding Conditonal Probability

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SUMMARY

The discussion centers on calculating the conditional probability that the first ball selected from a bowl was white, given that the second ball selected is black. The formula derived is P(W|B) = w/(w+b+n), where w represents the number of white balls, b the number of black balls, and n the additional balls of the same color added after the first selection. The participants clarify the confusion surrounding the problem statement and confirm that the conditional probability must account for the additional balls introduced after the first selection.

PREREQUISITES
  • Understanding of conditional probability and its notation
  • Familiarity with basic probability equations, specifically P(A|B) = P(A ∩ B) / P(B)
  • Knowledge of sample space and events in probability theory
  • Ability to manipulate algebraic expressions involving probabilities
NEXT STEPS
  • Study the derivation of conditional probabilities in more complex scenarios
  • Learn about Bayes' theorem and its applications in probability
  • Explore the concept of sample spaces and event combinations in probability
  • Practice problems involving conditional probability with varying conditions and outcomes
USEFUL FOR

Students studying probability theory, educators teaching conditional probability, and anyone looking to deepen their understanding of statistical concepts in mathematics.

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Homework Statement
There are w white balls and b black balls in a bowl. Randomly select a ball from the bowl and then return it to the bowl along with n additional balls of the same color. Another single ball is randomly selected from the bowl(now containing w+b+n balls) and it is black. Show that the conditional probability that the first ball selected was white is w/(w+b+n)

Relevant equations
The conditional probability of an event A, given that an event B has occurred, is equal to:
P(AlB)=P(AnB)/P(B)

The attempt at a solution
This is my last question of my assignment and I can't figure out even how to get the first step. The condition we know here is an event happened afterward, so I am even confused if I should use the equation above. I try to list the sample points which are A(1st-w, 2nd-w), B(1st-w, 2nd-b), C(1st-b, 2nd-b), D(1st-b, 2nd-w), and the possible sample points should be B or D. Then I try the conditional probability for B:

Sample point B :

Being the first selecting:
P(w)=w/(w+b) P(b)=b/(w+b)

By sample point B, it supports that the first selected ball is white, second is black, so using the equation:
P(blw)=P(bnw)/P(w)=P(bnw)/[w/(w+b)]=b/(w+n+b)
so, P(bnw)=[w/(w+b)]*[b/(w+n+b)]

Here it already looks strange because B is just one of the sample points, but I still continue:

P(wlb)=P(wnb)/P(b)={[w/(w+b)]*[b/(w+n+b)]}/[b/(w+b)]=w/(w+b+n)

I got the answer, but I have no feeling for that. It was that I was just putting something into an equation with no reason. But when I tried other ways, it even went worse. If anyone can give me some ideas just like how I should start to prove and that will be great.
 
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I don't understand what the question is asking: "Show that the conditional probability that the first ball selected was white is w/(w+b+n)" This doesn't make any sense. The probability that the first ball selected is white is clearly w/(w+b) unless i am horribly, horribly mistaken. Reread the question.

EDIT: Oh never mind, I missed the part where the second ball selected was black.

After studying this problem further, I decided I don't know enough to help you out, sorry. Hopefully someone else can explain.
 
Last edited:
I think it means that at first the color of the ball is unknown, and given the condition that the second selected ball is black; thus, under this condition what the probability of the the first ball selected was white is.
That is what I got. I agree with your meaning though, but anyway that is what the question is asking, driving me cruzy.
 

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