Count conditional probability of winning a game

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$begingroup$
In a certain game of tennis, Alice has a 60% probability to win any
given point against Bob. The player who gets to 4 points first wins
the game, and points cannot end in a tie. What is Alice's probability
to win the game?
When solving in terms of a random walk it gives a probability around 83%
, but the actual solution for this particular problem is around 71%
.
What's the difference between the methods used and how correctly solve such kind of problems?
probability probability-theory random-walk
$endgroup$
add a comment |
$begingroup$
In a certain game of tennis, Alice has a 60% probability to win any
given point against Bob. The player who gets to 4 points first wins
the game, and points cannot end in a tie. What is Alice's probability
to win the game?
When solving in terms of a random walk it gives a probability around 83%
, but the actual solution for this particular problem is around 71%
.
What's the difference between the methods used and how correctly solve such kind of problems?
probability probability-theory random-walk
$endgroup$
add a comment |
$begingroup$
In a certain game of tennis, Alice has a 60% probability to win any
given point against Bob. The player who gets to 4 points first wins
the game, and points cannot end in a tie. What is Alice's probability
to win the game?
When solving in terms of a random walk it gives a probability around 83%
, but the actual solution for this particular problem is around 71%
.
What's the difference between the methods used and how correctly solve such kind of problems?
probability probability-theory random-walk
$endgroup$
In a certain game of tennis, Alice has a 60% probability to win any
given point against Bob. The player who gets to 4 points first wins
the game, and points cannot end in a tie. What is Alice's probability
to win the game?
When solving in terms of a random walk it gives a probability around 83%
, but the actual solution for this particular problem is around 71%
.
What's the difference between the methods used and how correctly solve such kind of problems?
probability probability-theory random-walk
probability probability-theory random-walk
edited Feb 2 at 23:41
Henno Brandsma
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113k348123
asked Jan 14 at 8:24
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2 Answers
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$begingroup$
There are 4 possible outcomes:
- Alice wins $4-0$. There is only one way this happens, i.e. Alice wins 4 points. The probability of that is $0.6^4$.
- Alice wins $4-1$. There are $4$ ways this can happen, Bob can win the first, second, third or fourth point. So the probability of this event is $4cdot 0.6^4cdot0.4$
- Alice wins $4-2$. Bob needs to win $2$ of $6$ points for this, and he cannot win the last point, so he can win $2$ of the first $5$ points, the probability here is ${5choose 2}cdot 0.6^4cdot0.4^2$
- Alice wins $4-3$, the probability here is ${6choose 3}cdot 0.6^4cdot 0.4^3$
Summing those up, you get $approx0.7$. I cannot comment on the random walk method because you didn't give enough details for me to tell you where you went wrong. But the linked answer considers a completely different game in which a player needs an advantage of 2 points to win. Your game has no such condition and will always end in at most 7 points. The linked answer's game can be arbitrarily long (and if you watch tennis, they sometimes get very long)
$endgroup$
$begingroup$
Stewart in the book "game, set and math" analyses the game of tennis that way in one chapter. Sets then also need to be won by 1 two game difference etc. It turns out that even a very small "per point" advantage gets magnified quite a lot over a whole match.
$endgroup$
– Henno Brandsma
Jan 25 at 22:27
add a comment |
$begingroup$
Just as a generalization for the answer above, formula for getting N points in a game first
$sum_{i=0}^{N-1}{N-1+ichoose i}cdot p^Ncdot (1-p)^{i}$
So in our case we have N=4
, p=0.6
, q=1-p=0.4
$sum_{i=0}^{3}{2+ichoose i}cdot 0.6^4cdot 0.4^{i}$
which gives us 0.71
as a result.
$endgroup$
add a comment |
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2 Answers
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2 Answers
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$begingroup$
There are 4 possible outcomes:
- Alice wins $4-0$. There is only one way this happens, i.e. Alice wins 4 points. The probability of that is $0.6^4$.
- Alice wins $4-1$. There are $4$ ways this can happen, Bob can win the first, second, third or fourth point. So the probability of this event is $4cdot 0.6^4cdot0.4$
- Alice wins $4-2$. Bob needs to win $2$ of $6$ points for this, and he cannot win the last point, so he can win $2$ of the first $5$ points, the probability here is ${5choose 2}cdot 0.6^4cdot0.4^2$
- Alice wins $4-3$, the probability here is ${6choose 3}cdot 0.6^4cdot 0.4^3$
Summing those up, you get $approx0.7$. I cannot comment on the random walk method because you didn't give enough details for me to tell you where you went wrong. But the linked answer considers a completely different game in which a player needs an advantage of 2 points to win. Your game has no such condition and will always end in at most 7 points. The linked answer's game can be arbitrarily long (and if you watch tennis, they sometimes get very long)
$endgroup$
$begingroup$
Stewart in the book "game, set and math" analyses the game of tennis that way in one chapter. Sets then also need to be won by 1 two game difference etc. It turns out that even a very small "per point" advantage gets magnified quite a lot over a whole match.
$endgroup$
– Henno Brandsma
Jan 25 at 22:27
add a comment |
$begingroup$
There are 4 possible outcomes:
- Alice wins $4-0$. There is only one way this happens, i.e. Alice wins 4 points. The probability of that is $0.6^4$.
- Alice wins $4-1$. There are $4$ ways this can happen, Bob can win the first, second, third or fourth point. So the probability of this event is $4cdot 0.6^4cdot0.4$
- Alice wins $4-2$. Bob needs to win $2$ of $6$ points for this, and he cannot win the last point, so he can win $2$ of the first $5$ points, the probability here is ${5choose 2}cdot 0.6^4cdot0.4^2$
- Alice wins $4-3$, the probability here is ${6choose 3}cdot 0.6^4cdot 0.4^3$
Summing those up, you get $approx0.7$. I cannot comment on the random walk method because you didn't give enough details for me to tell you where you went wrong. But the linked answer considers a completely different game in which a player needs an advantage of 2 points to win. Your game has no such condition and will always end in at most 7 points. The linked answer's game can be arbitrarily long (and if you watch tennis, they sometimes get very long)
$endgroup$
$begingroup$
Stewart in the book "game, set and math" analyses the game of tennis that way in one chapter. Sets then also need to be won by 1 two game difference etc. It turns out that even a very small "per point" advantage gets magnified quite a lot over a whole match.
$endgroup$
– Henno Brandsma
Jan 25 at 22:27
add a comment |
$begingroup$
There are 4 possible outcomes:
- Alice wins $4-0$. There is only one way this happens, i.e. Alice wins 4 points. The probability of that is $0.6^4$.
- Alice wins $4-1$. There are $4$ ways this can happen, Bob can win the first, second, third or fourth point. So the probability of this event is $4cdot 0.6^4cdot0.4$
- Alice wins $4-2$. Bob needs to win $2$ of $6$ points for this, and he cannot win the last point, so he can win $2$ of the first $5$ points, the probability here is ${5choose 2}cdot 0.6^4cdot0.4^2$
- Alice wins $4-3$, the probability here is ${6choose 3}cdot 0.6^4cdot 0.4^3$
Summing those up, you get $approx0.7$. I cannot comment on the random walk method because you didn't give enough details for me to tell you where you went wrong. But the linked answer considers a completely different game in which a player needs an advantage of 2 points to win. Your game has no such condition and will always end in at most 7 points. The linked answer's game can be arbitrarily long (and if you watch tennis, they sometimes get very long)
$endgroup$
There are 4 possible outcomes:
- Alice wins $4-0$. There is only one way this happens, i.e. Alice wins 4 points. The probability of that is $0.6^4$.
- Alice wins $4-1$. There are $4$ ways this can happen, Bob can win the first, second, third or fourth point. So the probability of this event is $4cdot 0.6^4cdot0.4$
- Alice wins $4-2$. Bob needs to win $2$ of $6$ points for this, and he cannot win the last point, so he can win $2$ of the first $5$ points, the probability here is ${5choose 2}cdot 0.6^4cdot0.4^2$
- Alice wins $4-3$, the probability here is ${6choose 3}cdot 0.6^4cdot 0.4^3$
Summing those up, you get $approx0.7$. I cannot comment on the random walk method because you didn't give enough details for me to tell you where you went wrong. But the linked answer considers a completely different game in which a player needs an advantage of 2 points to win. Your game has no such condition and will always end in at most 7 points. The linked answer's game can be arbitrarily long (and if you watch tennis, they sometimes get very long)
edited Jan 14 at 8:38
answered Jan 14 at 8:32
5xum5xum
91.5k394161
91.5k394161
$begingroup$
Stewart in the book "game, set and math" analyses the game of tennis that way in one chapter. Sets then also need to be won by 1 two game difference etc. It turns out that even a very small "per point" advantage gets magnified quite a lot over a whole match.
$endgroup$
– Henno Brandsma
Jan 25 at 22:27
add a comment |
$begingroup$
Stewart in the book "game, set and math" analyses the game of tennis that way in one chapter. Sets then also need to be won by 1 two game difference etc. It turns out that even a very small "per point" advantage gets magnified quite a lot over a whole match.
$endgroup$
– Henno Brandsma
Jan 25 at 22:27
$begingroup$
Stewart in the book "game, set and math" analyses the game of tennis that way in one chapter. Sets then also need to be won by 1 two game difference etc. It turns out that even a very small "per point" advantage gets magnified quite a lot over a whole match.
$endgroup$
– Henno Brandsma
Jan 25 at 22:27
$begingroup$
Stewart in the book "game, set and math" analyses the game of tennis that way in one chapter. Sets then also need to be won by 1 two game difference etc. It turns out that even a very small "per point" advantage gets magnified quite a lot over a whole match.
$endgroup$
– Henno Brandsma
Jan 25 at 22:27
add a comment |
$begingroup$
Just as a generalization for the answer above, formula for getting N points in a game first
$sum_{i=0}^{N-1}{N-1+ichoose i}cdot p^Ncdot (1-p)^{i}$
So in our case we have N=4
, p=0.6
, q=1-p=0.4
$sum_{i=0}^{3}{2+ichoose i}cdot 0.6^4cdot 0.4^{i}$
which gives us 0.71
as a result.
$endgroup$
add a comment |
$begingroup$
Just as a generalization for the answer above, formula for getting N points in a game first
$sum_{i=0}^{N-1}{N-1+ichoose i}cdot p^Ncdot (1-p)^{i}$
So in our case we have N=4
, p=0.6
, q=1-p=0.4
$sum_{i=0}^{3}{2+ichoose i}cdot 0.6^4cdot 0.4^{i}$
which gives us 0.71
as a result.
$endgroup$
add a comment |
$begingroup$
Just as a generalization for the answer above, formula for getting N points in a game first
$sum_{i=0}^{N-1}{N-1+ichoose i}cdot p^Ncdot (1-p)^{i}$
So in our case we have N=4
, p=0.6
, q=1-p=0.4
$sum_{i=0}^{3}{2+ichoose i}cdot 0.6^4cdot 0.4^{i}$
which gives us 0.71
as a result.
$endgroup$
Just as a generalization for the answer above, formula for getting N points in a game first
$sum_{i=0}^{N-1}{N-1+ichoose i}cdot p^Ncdot (1-p)^{i}$
So in our case we have N=4
, p=0.6
, q=1-p=0.4
$sum_{i=0}^{3}{2+ichoose i}cdot 0.6^4cdot 0.4^{i}$
which gives us 0.71
as a result.
answered Jan 14 at 9:10
Most WantedMost Wanted
1306
1306
add a comment |
add a comment |
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