Probability of 3 people ending up on same team?

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Discussion Overview

The discussion revolves around calculating the probability that all women in a group end up on the same team when forming two teams from a larger group. The scenario involves varying numbers of participants while maintaining a specific gender ratio, exploring both small and large group sizes.

Discussion Character

  • Mathematical reasoning
  • Exploratory
  • Debate/contested

Main Points Raised

  • One participant initially proposes that the probability is 25%, based on a sequential reasoning approach for the women being drawn.
  • Another participant suggests a combinatorial method, stating that the probability can be expressed as a sum of two cases: one where team X has zero women and team Y has all three, and another where team X has all three women.
  • A later reply confirms the second method and provides a specific probability calculation, yielding a result of 4/19.
  • One participant notes that changing the team size to 1000 while keeping the gender ratio results in a probability of approximately 0.245, questioning if there is a rule that explains this for larger numbers.
  • Another participant extends the scenario to 2000 people with 300 women, calculating a very small probability for all women being on the same team, approximately 3.00417429967 × 10^-102.
  • There is a clarification regarding the scenario of 2000 people with only 3 women, suggesting a probability close to 0.25.

Areas of Agreement / Disagreement

Participants generally agree on the validity of the combinatorial method for calculating probabilities, but there is no consensus on the implications of changing group sizes or the existence of a general rule for larger numbers.

Contextual Notes

Participants express uncertainty regarding the implications of larger group sizes on the probability calculations and the assumptions underlying their methods. The discussion includes various interpretations of the probability based on different scenarios.

steve212
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There are 20 people and we are forming 2 teams of 10 people. 3 of the people (3/20) are women, 17 (17/20) are men. Names are drawn from random, in alternating order for teams. What is the probability that all 3 women end up on the same team?

Initially I thought it was 25%. 100% probability for 1st woman and 50% for each of remaining 2, so .5*.5 = .25

Then I thought it was 17 choose 10 / 20 choose 10 = 0.105
or possibility 2*0.105 (accounting for 0 women on same team as equal probability)

any help!?
 
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I think your second method is correct. Suppose we call the teams $X$ and $Y$...and now we need only look at one team, so let's look at team $X$. If there are to be 3 women on the same team, which we'll call event $A$, then that will happen if team $X$ gets zero women (in which case team $Y$ has three women) OR if team $X$ gets three women. So, I would state:

$$P(A)=\frac{{17 \choose 10}{3 \choose 0}}{{20 \choose 10}}+\frac{{17 \choose 7}{3 \choose 3}}{{20 \choose 10}}=\frac{4}{19}$$
 
Thanks! If I change the size of the team to 1000 (keeping the ratio of W:M the same) the result is 0.245 - very close to the 0.25 I also thought - is there a rule that explains why this is for large numbers?

MarkFL said:
I think your second method is correct. Suppose we call the teams $X$ and $Y$...and now we need only look at one team, so let's look at team $X$. If there are to be 3 women on the same team, which we'll call event $A$, then that will happen if team $X$ gets zero women (in which case team $Y$ has three women) OR if team $X$ gets three women. So, I would state:

$$P(A)=\frac{{17 \choose 10}{3 \choose 0}}{{20 \choose 10}}+\frac{{17 \choose 7}{3 \choose 3}}{{20 \choose 10}}=\frac{4}{19}$$
 
steve212 said:
Thanks! If I change the size of the team to 1000 (keeping the ratio of W:M the same) the result is 0.245 - very close to the 0.25 I also thought - is there a rule that explains why this is for large numbers?

If we have 2000 people, 300 of which are women, then the probability that all 300 women will be on the same team is given by:

$$P(A)=\frac{{1700 \choose 1000}{300 \choose 0}}{{2000 \choose 1000}}+\frac{{1700 \choose 700}{300 \choose 300}}{{2000 \choose 1000}}\approx 3.00417429967\,\times\,10^{-102}$$
 
MarkFL said:
I think your second method is correct.

I concur.

$$P(A)=2\cdot\frac{10\choose3}{20\choose3}=\frac{4}{19}$$

This method also gives the same result for your second example.
 
Sorry that wasn't exactly clear - I meant 2000 people of which 3 are women and 1997 are men, p~=0.25
MarkFL said:
If we have 2000 people, 300 of which are women, then the probability that all 300 women will be on the same team is given by:

$$P(A)=\frac{{1700 \choose 1000}{300 \choose 0}}{{2000 \choose 1000}}+\frac{{1700 \choose 700}{300 \choose 300}}{{2000 \choose 1000}}\approx 3.00417429967\,\times\,10^{-102}$$
 

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