If a sports team is down by 1-2 in a best of 7 series, what is their chance of winning (if both teams have a...












1












$begingroup$


I know that the team has to win 3 of the 4 remaining games. So I thought that from the 4 remaining games, there are a total of $2^4 = 16$ total different outcomes.



Could someone point me towards the right direction to determine the probability of the team winning 3 of the 4 remaining games? Would it be 4C3/16 since the three wins can be chosen amongst the 4 games left?










share|cite|improve this question











$endgroup$








  • 2




    $begingroup$
    The winning scenarios are $WWW, WWLW, WLWW, LWWW$ so... If it helps, you can think of $WWW$ as short hand for the two scenarios $WWWW$ and $WWWL$.
    $endgroup$
    – lulu
    Jan 14 at 21:48












  • $begingroup$
    You can draw a tree diagram, if you're familiar with that.
    $endgroup$
    – saulspatz
    Jan 14 at 21:50










  • $begingroup$
    Note: your thought, $binom 43times frac 1{16}$, is close but not correct since your team might win the next three (in which case there is no "missing" slot).
    $endgroup$
    – lulu
    Jan 14 at 21:51












  • $begingroup$
    Drawing a tree diagram helped me, but is there a way to approach this problem without a diagram? I'm having difficulty excluding the probabilities that is impossible to occur, such as the team winning all of the remaining four games.
    $endgroup$
    – Tim Weah
    Jan 14 at 21:53










  • $begingroup$
    Either the series ends in exactly $2$ more games, or $3$ more games, or $4$ more games. For each case, calculate the probability each team wins in exactly that number of additional games. Then sum these probabilities for the given team.
    $endgroup$
    – David G. Stork
    Jan 14 at 21:59


















1












$begingroup$


I know that the team has to win 3 of the 4 remaining games. So I thought that from the 4 remaining games, there are a total of $2^4 = 16$ total different outcomes.



Could someone point me towards the right direction to determine the probability of the team winning 3 of the 4 remaining games? Would it be 4C3/16 since the three wins can be chosen amongst the 4 games left?










share|cite|improve this question











$endgroup$








  • 2




    $begingroup$
    The winning scenarios are $WWW, WWLW, WLWW, LWWW$ so... If it helps, you can think of $WWW$ as short hand for the two scenarios $WWWW$ and $WWWL$.
    $endgroup$
    – lulu
    Jan 14 at 21:48












  • $begingroup$
    You can draw a tree diagram, if you're familiar with that.
    $endgroup$
    – saulspatz
    Jan 14 at 21:50










  • $begingroup$
    Note: your thought, $binom 43times frac 1{16}$, is close but not correct since your team might win the next three (in which case there is no "missing" slot).
    $endgroup$
    – lulu
    Jan 14 at 21:51












  • $begingroup$
    Drawing a tree diagram helped me, but is there a way to approach this problem without a diagram? I'm having difficulty excluding the probabilities that is impossible to occur, such as the team winning all of the remaining four games.
    $endgroup$
    – Tim Weah
    Jan 14 at 21:53










  • $begingroup$
    Either the series ends in exactly $2$ more games, or $3$ more games, or $4$ more games. For each case, calculate the probability each team wins in exactly that number of additional games. Then sum these probabilities for the given team.
    $endgroup$
    – David G. Stork
    Jan 14 at 21:59
















1












1








1





$begingroup$


I know that the team has to win 3 of the 4 remaining games. So I thought that from the 4 remaining games, there are a total of $2^4 = 16$ total different outcomes.



Could someone point me towards the right direction to determine the probability of the team winning 3 of the 4 remaining games? Would it be 4C3/16 since the three wins can be chosen amongst the 4 games left?










share|cite|improve this question











$endgroup$




I know that the team has to win 3 of the 4 remaining games. So I thought that from the 4 remaining games, there are a total of $2^4 = 16$ total different outcomes.



Could someone point me towards the right direction to determine the probability of the team winning 3 of the 4 remaining games? Would it be 4C3/16 since the three wins can be chosen amongst the 4 games left?







probability statistics






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Jan 14 at 21:51









David G. Stork

11k41432




11k41432










asked Jan 14 at 21:44









Tim WeahTim Weah

865




865








  • 2




    $begingroup$
    The winning scenarios are $WWW, WWLW, WLWW, LWWW$ so... If it helps, you can think of $WWW$ as short hand for the two scenarios $WWWW$ and $WWWL$.
    $endgroup$
    – lulu
    Jan 14 at 21:48












  • $begingroup$
    You can draw a tree diagram, if you're familiar with that.
    $endgroup$
    – saulspatz
    Jan 14 at 21:50










  • $begingroup$
    Note: your thought, $binom 43times frac 1{16}$, is close but not correct since your team might win the next three (in which case there is no "missing" slot).
    $endgroup$
    – lulu
    Jan 14 at 21:51












  • $begingroup$
    Drawing a tree diagram helped me, but is there a way to approach this problem without a diagram? I'm having difficulty excluding the probabilities that is impossible to occur, such as the team winning all of the remaining four games.
    $endgroup$
    – Tim Weah
    Jan 14 at 21:53










  • $begingroup$
    Either the series ends in exactly $2$ more games, or $3$ more games, or $4$ more games. For each case, calculate the probability each team wins in exactly that number of additional games. Then sum these probabilities for the given team.
    $endgroup$
    – David G. Stork
    Jan 14 at 21:59
















  • 2




    $begingroup$
    The winning scenarios are $WWW, WWLW, WLWW, LWWW$ so... If it helps, you can think of $WWW$ as short hand for the two scenarios $WWWW$ and $WWWL$.
    $endgroup$
    – lulu
    Jan 14 at 21:48












  • $begingroup$
    You can draw a tree diagram, if you're familiar with that.
    $endgroup$
    – saulspatz
    Jan 14 at 21:50










  • $begingroup$
    Note: your thought, $binom 43times frac 1{16}$, is close but not correct since your team might win the next three (in which case there is no "missing" slot).
    $endgroup$
    – lulu
    Jan 14 at 21:51












  • $begingroup$
    Drawing a tree diagram helped me, but is there a way to approach this problem without a diagram? I'm having difficulty excluding the probabilities that is impossible to occur, such as the team winning all of the remaining four games.
    $endgroup$
    – Tim Weah
    Jan 14 at 21:53










  • $begingroup$
    Either the series ends in exactly $2$ more games, or $3$ more games, or $4$ more games. For each case, calculate the probability each team wins in exactly that number of additional games. Then sum these probabilities for the given team.
    $endgroup$
    – David G. Stork
    Jan 14 at 21:59










2




2




$begingroup$
The winning scenarios are $WWW, WWLW, WLWW, LWWW$ so... If it helps, you can think of $WWW$ as short hand for the two scenarios $WWWW$ and $WWWL$.
$endgroup$
– lulu
Jan 14 at 21:48






$begingroup$
The winning scenarios are $WWW, WWLW, WLWW, LWWW$ so... If it helps, you can think of $WWW$ as short hand for the two scenarios $WWWW$ and $WWWL$.
$endgroup$
– lulu
Jan 14 at 21:48














$begingroup$
You can draw a tree diagram, if you're familiar with that.
$endgroup$
– saulspatz
Jan 14 at 21:50




$begingroup$
You can draw a tree diagram, if you're familiar with that.
$endgroup$
– saulspatz
Jan 14 at 21:50












$begingroup$
Note: your thought, $binom 43times frac 1{16}$, is close but not correct since your team might win the next three (in which case there is no "missing" slot).
$endgroup$
– lulu
Jan 14 at 21:51






$begingroup$
Note: your thought, $binom 43times frac 1{16}$, is close but not correct since your team might win the next three (in which case there is no "missing" slot).
$endgroup$
– lulu
Jan 14 at 21:51














$begingroup$
Drawing a tree diagram helped me, but is there a way to approach this problem without a diagram? I'm having difficulty excluding the probabilities that is impossible to occur, such as the team winning all of the remaining four games.
$endgroup$
– Tim Weah
Jan 14 at 21:53




$begingroup$
Drawing a tree diagram helped me, but is there a way to approach this problem without a diagram? I'm having difficulty excluding the probabilities that is impossible to occur, such as the team winning all of the remaining four games.
$endgroup$
– Tim Weah
Jan 14 at 21:53












$begingroup$
Either the series ends in exactly $2$ more games, or $3$ more games, or $4$ more games. For each case, calculate the probability each team wins in exactly that number of additional games. Then sum these probabilities for the given team.
$endgroup$
– David G. Stork
Jan 14 at 21:59






$begingroup$
Either the series ends in exactly $2$ more games, or $3$ more games, or $4$ more games. For each case, calculate the probability each team wins in exactly that number of additional games. Then sum these probabilities for the given team.
$endgroup$
– David G. Stork
Jan 14 at 21:59












2 Answers
2






active

oldest

votes


















1












$begingroup$

The team that's behind needs to win three of the remaining four games.



One possibility is to explicitly write out all the possible scenarios: WWW, WWLW, WLWW, LWWW. These have probability 1/8, 1/16, 1/16, and 1/16, so the probability of winning is the sum of these, 5/16.



Alternatively, imagine that all four remaining games get played even if they don't need to be. Then the probability that the team that's behind wins at least three of its games is just the probability that a binomial(4, 1/2) random variable is at least 3 - that's



$$ {{4 choose 3} + {4 choose 4} over 2^4} = {4 + 1 over 16} = {5 over 16}$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    for your second method, aren't you double counting some scenarios, such as WWW and WWWW?
    $endgroup$
    – Tim Weah
    Jan 14 at 22:23










  • $begingroup$
    with a tree diagram, the probability I got is 2/5. The list of scenarios are: WWW, WWLW, WWLL, WLWW, WLWL, WLL, LWWW, LWWL, LWL, LL, where the team wins on 4/10 of those.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:27












  • $begingroup$
    @TimWeah In the second method, WWW doesn't appear, because they are looking at 4-game combinations, and that's only three games. For your calculation of probabilities, are you weighting each scenario by the probability of seeing that scenario?
    $endgroup$
    – Acccumulation
    Jan 14 at 22:54










  • $begingroup$
    @Acccumulation I just used a tree diagram (like the one below), and got 2/5. I'm just trying to figure out a way to show my solution numerically, but am having difficulty.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:57



















0












$begingroup$

Starting with a reply to the OP's request for a tree:



enter image description here



Calculate the probabilities of getting to a "winning" end $42$ and $43$, being sure to add the probabilities along all paths:



$underbrace{(1/2)^3}_{{rm path~to~} 42} + underbrace{3 (1/2)^4}_{{rm paths~to~} 43} = 5/16$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Thats exactly what I have, but (since a tree diagram is not sufficient enough for this course), I'm trying to figure out a way to show this numerically. (not sure if thats the correct term)
    $endgroup$
    – Tim Weah
    Jan 14 at 22:51











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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes









1












$begingroup$

The team that's behind needs to win three of the remaining four games.



One possibility is to explicitly write out all the possible scenarios: WWW, WWLW, WLWW, LWWW. These have probability 1/8, 1/16, 1/16, and 1/16, so the probability of winning is the sum of these, 5/16.



Alternatively, imagine that all four remaining games get played even if they don't need to be. Then the probability that the team that's behind wins at least three of its games is just the probability that a binomial(4, 1/2) random variable is at least 3 - that's



$$ {{4 choose 3} + {4 choose 4} over 2^4} = {4 + 1 over 16} = {5 over 16}$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    for your second method, aren't you double counting some scenarios, such as WWW and WWWW?
    $endgroup$
    – Tim Weah
    Jan 14 at 22:23










  • $begingroup$
    with a tree diagram, the probability I got is 2/5. The list of scenarios are: WWW, WWLW, WWLL, WLWW, WLWL, WLL, LWWW, LWWL, LWL, LL, where the team wins on 4/10 of those.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:27












  • $begingroup$
    @TimWeah In the second method, WWW doesn't appear, because they are looking at 4-game combinations, and that's only three games. For your calculation of probabilities, are you weighting each scenario by the probability of seeing that scenario?
    $endgroup$
    – Acccumulation
    Jan 14 at 22:54










  • $begingroup$
    @Acccumulation I just used a tree diagram (like the one below), and got 2/5. I'm just trying to figure out a way to show my solution numerically, but am having difficulty.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:57
















1












$begingroup$

The team that's behind needs to win three of the remaining four games.



One possibility is to explicitly write out all the possible scenarios: WWW, WWLW, WLWW, LWWW. These have probability 1/8, 1/16, 1/16, and 1/16, so the probability of winning is the sum of these, 5/16.



Alternatively, imagine that all four remaining games get played even if they don't need to be. Then the probability that the team that's behind wins at least three of its games is just the probability that a binomial(4, 1/2) random variable is at least 3 - that's



$$ {{4 choose 3} + {4 choose 4} over 2^4} = {4 + 1 over 16} = {5 over 16}$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    for your second method, aren't you double counting some scenarios, such as WWW and WWWW?
    $endgroup$
    – Tim Weah
    Jan 14 at 22:23










  • $begingroup$
    with a tree diagram, the probability I got is 2/5. The list of scenarios are: WWW, WWLW, WWLL, WLWW, WLWL, WLL, LWWW, LWWL, LWL, LL, where the team wins on 4/10 of those.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:27












  • $begingroup$
    @TimWeah In the second method, WWW doesn't appear, because they are looking at 4-game combinations, and that's only three games. For your calculation of probabilities, are you weighting each scenario by the probability of seeing that scenario?
    $endgroup$
    – Acccumulation
    Jan 14 at 22:54










  • $begingroup$
    @Acccumulation I just used a tree diagram (like the one below), and got 2/5. I'm just trying to figure out a way to show my solution numerically, but am having difficulty.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:57














1












1








1





$begingroup$

The team that's behind needs to win three of the remaining four games.



One possibility is to explicitly write out all the possible scenarios: WWW, WWLW, WLWW, LWWW. These have probability 1/8, 1/16, 1/16, and 1/16, so the probability of winning is the sum of these, 5/16.



Alternatively, imagine that all four remaining games get played even if they don't need to be. Then the probability that the team that's behind wins at least three of its games is just the probability that a binomial(4, 1/2) random variable is at least 3 - that's



$$ {{4 choose 3} + {4 choose 4} over 2^4} = {4 + 1 over 16} = {5 over 16}$$






share|cite|improve this answer









$endgroup$



The team that's behind needs to win three of the remaining four games.



One possibility is to explicitly write out all the possible scenarios: WWW, WWLW, WLWW, LWWW. These have probability 1/8, 1/16, 1/16, and 1/16, so the probability of winning is the sum of these, 5/16.



Alternatively, imagine that all four remaining games get played even if they don't need to be. Then the probability that the team that's behind wins at least three of its games is just the probability that a binomial(4, 1/2) random variable is at least 3 - that's



$$ {{4 choose 3} + {4 choose 4} over 2^4} = {4 + 1 over 16} = {5 over 16}$$







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Jan 14 at 22:01









Michael LugoMichael Lugo

18.1k33576




18.1k33576












  • $begingroup$
    for your second method, aren't you double counting some scenarios, such as WWW and WWWW?
    $endgroup$
    – Tim Weah
    Jan 14 at 22:23










  • $begingroup$
    with a tree diagram, the probability I got is 2/5. The list of scenarios are: WWW, WWLW, WWLL, WLWW, WLWL, WLL, LWWW, LWWL, LWL, LL, where the team wins on 4/10 of those.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:27












  • $begingroup$
    @TimWeah In the second method, WWW doesn't appear, because they are looking at 4-game combinations, and that's only three games. For your calculation of probabilities, are you weighting each scenario by the probability of seeing that scenario?
    $endgroup$
    – Acccumulation
    Jan 14 at 22:54










  • $begingroup$
    @Acccumulation I just used a tree diagram (like the one below), and got 2/5. I'm just trying to figure out a way to show my solution numerically, but am having difficulty.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:57


















  • $begingroup$
    for your second method, aren't you double counting some scenarios, such as WWW and WWWW?
    $endgroup$
    – Tim Weah
    Jan 14 at 22:23










  • $begingroup$
    with a tree diagram, the probability I got is 2/5. The list of scenarios are: WWW, WWLW, WWLL, WLWW, WLWL, WLL, LWWW, LWWL, LWL, LL, where the team wins on 4/10 of those.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:27












  • $begingroup$
    @TimWeah In the second method, WWW doesn't appear, because they are looking at 4-game combinations, and that's only three games. For your calculation of probabilities, are you weighting each scenario by the probability of seeing that scenario?
    $endgroup$
    – Acccumulation
    Jan 14 at 22:54










  • $begingroup$
    @Acccumulation I just used a tree diagram (like the one below), and got 2/5. I'm just trying to figure out a way to show my solution numerically, but am having difficulty.
    $endgroup$
    – Tim Weah
    Jan 14 at 22:57
















$begingroup$
for your second method, aren't you double counting some scenarios, such as WWW and WWWW?
$endgroup$
– Tim Weah
Jan 14 at 22:23




$begingroup$
for your second method, aren't you double counting some scenarios, such as WWW and WWWW?
$endgroup$
– Tim Weah
Jan 14 at 22:23












$begingroup$
with a tree diagram, the probability I got is 2/5. The list of scenarios are: WWW, WWLW, WWLL, WLWW, WLWL, WLL, LWWW, LWWL, LWL, LL, where the team wins on 4/10 of those.
$endgroup$
– Tim Weah
Jan 14 at 22:27






$begingroup$
with a tree diagram, the probability I got is 2/5. The list of scenarios are: WWW, WWLW, WWLL, WLWW, WLWL, WLL, LWWW, LWWL, LWL, LL, where the team wins on 4/10 of those.
$endgroup$
– Tim Weah
Jan 14 at 22:27














$begingroup$
@TimWeah In the second method, WWW doesn't appear, because they are looking at 4-game combinations, and that's only three games. For your calculation of probabilities, are you weighting each scenario by the probability of seeing that scenario?
$endgroup$
– Acccumulation
Jan 14 at 22:54




$begingroup$
@TimWeah In the second method, WWW doesn't appear, because they are looking at 4-game combinations, and that's only three games. For your calculation of probabilities, are you weighting each scenario by the probability of seeing that scenario?
$endgroup$
– Acccumulation
Jan 14 at 22:54












$begingroup$
@Acccumulation I just used a tree diagram (like the one below), and got 2/5. I'm just trying to figure out a way to show my solution numerically, but am having difficulty.
$endgroup$
– Tim Weah
Jan 14 at 22:57




$begingroup$
@Acccumulation I just used a tree diagram (like the one below), and got 2/5. I'm just trying to figure out a way to show my solution numerically, but am having difficulty.
$endgroup$
– Tim Weah
Jan 14 at 22:57











0












$begingroup$

Starting with a reply to the OP's request for a tree:



enter image description here



Calculate the probabilities of getting to a "winning" end $42$ and $43$, being sure to add the probabilities along all paths:



$underbrace{(1/2)^3}_{{rm path~to~} 42} + underbrace{3 (1/2)^4}_{{rm paths~to~} 43} = 5/16$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Thats exactly what I have, but (since a tree diagram is not sufficient enough for this course), I'm trying to figure out a way to show this numerically. (not sure if thats the correct term)
    $endgroup$
    – Tim Weah
    Jan 14 at 22:51
















0












$begingroup$

Starting with a reply to the OP's request for a tree:



enter image description here



Calculate the probabilities of getting to a "winning" end $42$ and $43$, being sure to add the probabilities along all paths:



$underbrace{(1/2)^3}_{{rm path~to~} 42} + underbrace{3 (1/2)^4}_{{rm paths~to~} 43} = 5/16$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Thats exactly what I have, but (since a tree diagram is not sufficient enough for this course), I'm trying to figure out a way to show this numerically. (not sure if thats the correct term)
    $endgroup$
    – Tim Weah
    Jan 14 at 22:51














0












0








0





$begingroup$

Starting with a reply to the OP's request for a tree:



enter image description here



Calculate the probabilities of getting to a "winning" end $42$ and $43$, being sure to add the probabilities along all paths:



$underbrace{(1/2)^3}_{{rm path~to~} 42} + underbrace{3 (1/2)^4}_{{rm paths~to~} 43} = 5/16$






share|cite|improve this answer











$endgroup$



Starting with a reply to the OP's request for a tree:



enter image description here



Calculate the probabilities of getting to a "winning" end $42$ and $43$, being sure to add the probabilities along all paths:



$underbrace{(1/2)^3}_{{rm path~to~} 42} + underbrace{3 (1/2)^4}_{{rm paths~to~} 43} = 5/16$







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Jan 14 at 23:03

























answered Jan 14 at 22:47









David G. StorkDavid G. Stork

11k41432




11k41432












  • $begingroup$
    Thats exactly what I have, but (since a tree diagram is not sufficient enough for this course), I'm trying to figure out a way to show this numerically. (not sure if thats the correct term)
    $endgroup$
    – Tim Weah
    Jan 14 at 22:51


















  • $begingroup$
    Thats exactly what I have, but (since a tree diagram is not sufficient enough for this course), I'm trying to figure out a way to show this numerically. (not sure if thats the correct term)
    $endgroup$
    – Tim Weah
    Jan 14 at 22:51
















$begingroup$
Thats exactly what I have, but (since a tree diagram is not sufficient enough for this course), I'm trying to figure out a way to show this numerically. (not sure if thats the correct term)
$endgroup$
– Tim Weah
Jan 14 at 22:51




$begingroup$
Thats exactly what I have, but (since a tree diagram is not sufficient enough for this course), I'm trying to figure out a way to show this numerically. (not sure if thats the correct term)
$endgroup$
– Tim Weah
Jan 14 at 22:51


















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