Probability of 3 people ending up on same team?

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In summary: This result is very close to 0, which makes sense because it is highly unlikely that all 300 women will end up on the same team when there are 2000 total people. As the number of people increases, the probability of all women ending up on the same team decreases significantly.
  • #1
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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  • #2
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:

\(\displaystyle P(A)=\frac{{17 \choose 10}{3 \choose 0}}{{20 \choose 10}}+\frac{{17 \choose 7}{3 \choose 3}}{{20 \choose 10}}=\frac{4}{19}\)
 
  • #3
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:

\(\displaystyle P(A)=\frac{{17 \choose 10}{3 \choose 0}}{{20 \choose 10}}+\frac{{17 \choose 7}{3 \choose 3}}{{20 \choose 10}}=\frac{4}{19}\)
 
  • #4
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:

\(\displaystyle P(A)=\frac{{1700 \choose 1000}{300 \choose 0}}{{2000 \choose 1000}}+\frac{{1700 \choose 700}{300 \choose 300}}{{2000 \choose 1000}}\approx 3.00417429967\,\times\,10^{-102}\)
 
  • #5
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.
 
  • #6
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:

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

Related to Probability of 3 people ending up on same team?

1. What is the probability of 3 people ending up on the same team?

The probability of 3 people ending up on the same team depends on the total number of teams and the number of people in each team. If there are n teams and m people in each team, the probability is equal to 1/n^2.

2. How does the probability change if there are more than 3 people?

The probability of 3 people ending up on the same team decreases as the number of people increases. This is because the number of possible combinations for 3 people to be on the same team decreases as more people are added to the pool.

3. Can the probability be calculated if the number of teams and people are not known?

No, the probability cannot be accurately calculated if the number of teams and people are not known. The probability is dependent on these variables and without them, a definitive answer cannot be given.

4. Is there a way to increase the probability of 3 people ending up on the same team?

Yes, the probability can be increased by increasing the number of teams or decreasing the number of people in each team. This will result in more possible combinations for 3 people to be on the same team.

5. How can the probability be applied in real-world situations?

The probability of 3 people ending up on the same team can be applied in various real-world situations, such as forming project teams, assigning seats in a classroom, or creating work groups. It can also be used in sports drafts or team selection processes to ensure fairness and diversity within teams.

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