What is the Probability of Selecting Two Olive Socks from a Drawer?

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Discussion Overview

The discussion revolves around calculating the probability of selecting two olive socks from a drawer containing socks of different colors. Participants explore the concepts of conditional probability and combinatorial counting, specifically addressing two questions: the probability that two randomly selected socks are of the same color, and the probability that both socks are olive given that they are the same color.

Discussion Character

  • Exploratory, Technical explanation, Mathematical reasoning, Debate/contested

Main Points Raised

  • Rory presents a problem involving 8 olive, 4 black, and 6 brown socks and seeks help with calculating the conditional probability of selecting two olive socks.
  • Rory calculates the total number of pairs of socks of the same color using binomial coefficients but struggles with the conditional probability.
  • Another participant suggests that Rory can derive the answer from his earlier calculations regarding the number of pairs of socks.
  • Rory expresses confusion over the number of unique pairs and initially miscalculates the total pairs of socks.
  • A participant corrects Rory's misunderstanding of combinatorial counting, emphasizing the use of binomial coefficients.
  • One participant introduces the formula for conditional probability, suggesting a method to approach the problem.
  • Rory eventually arrives at the correct calculation for the probability of selecting two olive socks given that they are the same color.
  • A later reply clarifies the sample space for the problem, indicating the total pairs and the specific pairs that match the criteria for olive socks, confirming the probability of 4/7.

Areas of Agreement / Disagreement

Participants demonstrate some agreement on the use of combinatorial methods and conditional probability, but there is disagreement regarding the initial calculations and interpretations of the number of pairs. The discussion reflects a mix of confusion and clarification, with no consensus on the initial misunderstanding.

Contextual Notes

Some participants' calculations depend on the correct application of binomial coefficients, and there are unresolved aspects regarding the interpretation of total pairs versus unique pairs. The discussion highlights the importance of clear definitions in probability problems.

rwinston
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Hi guys

This one is kind of embarrassing, but its driving me crazy! I am working through some examples in a prob. book, to try and refresh my rusty stats and prob knowledge. There is a question that goes: "There are 8 olive, 4 black, and six brown socks in a drawer. Two are selected at random. What is (a) the probability that the two socks are the same color? (b) If they are the same color, what is the prob. that they are both olive?"

I can figure out part (a), which is:

[itex] \frac{\dbinom{4}{2}+\dbinom{8}{2}+\dbinom{6}{2}}{\dbinom{18}{2}}[/itex]

But I can't figure out P(olive|same color). Can anyone help?

Thanks
Rory

Oh BTW, this isn't a homework question - I can see the answer from the back of the book is 4/7 - I am just curious to see how the author got it! Thanks.
 
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How many pairs of socks of the same colour are there? (Hint: you've alread worked that out) How many pairs of olive socks are there? (Hint: you've already worked that out as well).You can read off the answer from what you wrote above.
 
Hi Matt

thanks for the reply. I think I am being dense here, but I still can't see the solution - there are (8/2) + (4/2) + (6/2) = 9 unique pairs, and 4 of those pairs are olive. So I would have thought it would be more like (4/9)?

Rory
 
9 pairs? By your logic, if I have 3 socks, then there are 1.5 pairs of socks. There aren't there are 3. 3 choose 2. Not 3/2. If they're labelled a,b,c then the pairs are (a,b) (a,c) and (b,c). You used the binomial coefficients in the first post, so why have you stopped using them now?
 
You can use conditional probability: P(B|A)={P(A) intersection P(B)}/P(A).

The probability of B given A is equal to the probability of A intersection B divided by the probability of A.
 
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Thanks for the help - it dawned on me eventually :smile:

[itex] \frac{\dbinom{8}{2}}{\dbinom{4}{2}+\dbinom{8}{2}+\dbinom{6}{2}}[/itex]
 
What has happened is that the original sample space was 18x17/2 = 153 (pairs). The new sample space is only those cases where the pairs match, which is 49 pairs. Then we want to find the cases where the pairs are olive, which is 28 pairs, giving us the correct figure of 4/7. Completely logical problem.
 
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