Stat Problem that I solved using simulations; verify answer

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Discussion Overview

The discussion revolves around a probability problem involving a tournament between two teams, A and B, where the first team to win 4 games wins the tournament. The games are played in a specific home-away pattern, and participants explore both simulation and analytical approaches to determine the probability of team A winning. The conversation includes aspects of statistical modeling, simulation accuracy, and analytical solutions.

Discussion Character

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

Main Points Raised

  • One participant simulated the tournament using R and reported a win probability of 0.52 for team A, noting the potential advantage due to home games.
  • Another participant pointed out that the tournament structure may favor team B, as they have at least as many home games as team A in some scenarios.
  • There was a correction regarding the home game sequence, with participants confirming the correct order of games played.
  • One participant suggested that the win probability should be reported with more precision to avoid misestimating team A's advantage.
  • Another participant calculated an analytical solution of 51.57197% by considering various game outcome cases.
  • Participants discussed different methods for calculating the probabilities, including brute-force enumeration of outcomes and matrix approaches.
  • One participant expressed difficulty in solving the problem and sought guidance on more efficient methods.

Areas of Agreement / Disagreement

Participants generally agree on the reported probabilities but have differing views on the advantages of each team based on the home game distribution. The discussion includes multiple approaches to the problem, with no consensus on the most effective method for calculating the probabilities.

Contextual Notes

Some participants noted the limitations of their approaches, including the potential inaccuracies in simulation results and the complexity of the analytical solution. There are unresolved questions regarding the optimal method for calculating the probabilities.

Who May Find This Useful

Readers interested in probability theory, statistical modeling, and game theory may find this discussion relevant, particularly those looking for insights into simulation techniques and analytical problem-solving in competitive scenarios.

rollingstein
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Someone posed this Stat / probability problem to me:

Two teams A vs B play a tournament of seven games against each other. First team to won 4 games wins the tournament. The games are split over each team's home stadium as A A B B B A A.

Historically the home team wins a game 55% of the time. What's the probability that team A wins the tournament?


Now, I simulated this in R as a series of events drawn from three binomial distributions. I get a 0.52 win probability for team A. i.e. A small advantage remains for the team that starts the tourney since it gets 4 home games vs three for the other team.

Just wanted to double check this answer if it is amenable to an analytic solution.

I tried increasing the number of simulations and the answer of 0.52 is fairly stable but not sure whether I've converged onto the asymptotically right answer or not.
 
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The tournament ends the earliest after game 4 (AABB) and the latest after game 7 (AABBBBA). In every case, B has at least as many home games as A. B must have an advantage.

Do you mean A A B B B A A? Then I see that A can have an advantage, although B has a smaller advantage from AABBB.

You can calculate the analytic solution by looking at a few cases.
 
Yes. Thanks @mfb. My bad. I do mean A A B B B A A

I've corrected my post.
 
Rounded to whole percent, I can confirm 52%, but I think you should give at least one more digit, otherwise the advantage of A is poorly estimated.
 
Thanks again @mfb!

I get 51.56612% actually. But I wasn't sure how many digits to use to avoid overstating the accuracy of sims.

Out of curiosity, what's the exact analytical answer just to see how close I got. :)

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51.57197%, by going through the cases of (A won x, B won y).
 
How did you solve it! I'm so stuck.

I brute force listed all 128 ways the game outcomes may turn out. i.e. a 128 x 7 grid of A / B combinations.

Of course not all tournaments will run 7 games.

But I'm stuck. What next?
 
Ok, I did get your answer but by an ugly brute-force method:

My approach:

Out of 128 total permutations I discarded the ones in which A lost by counting only for those rows with 4 or more "A"-wins.

Next, I manually replaced each "A"-win element by either a 0.55 or a 0.45 depending on which of the 7 game columns it was in.

Now multiplied the 7 probablities and summed over all 64 games.

I get 0.5157197.

Is there a smarter, more elegant approach?
 
P(B won 3 games, A won 2 games | 5 games played) = 0.55 * P(B won 2 games, A won 2 games | 4 games played) + 0.45 * P(B won 3 games, A won 1 game | 4 games played)

A 5x5 matrix is sufficient. It does not matter how "both won two games out of the first 4" occurred, for example, as long as you know the probability of this intermediate score.
 

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