Seemingly tricky dice question-probability that one event occurs before another event?

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The question is as follows:




You roll two fair dice over and over. Let $A$ be the event you see two even sums. Let $B$ be the event you see a sum of $7$ four times. What is the probability that event $A$ occurs before event $B$?




I know that for mutually exclusive events with independent trials, the probability that event $E$ occurs before event $F$ is
$$fracmathbbP(E)mathbbP(E) + mathbbP(F).$$
I tried using this formula, but I ran into a problem. I calculated
$$mathbbP(A)=frac12cdot frac12=frac14 textand mathbbP(B)=left ( frac16 right )^4=frac11296.$$
However, I then realized that these probabilites are the events that two even sums occur $textitin a row,$ and similarly for my $mathbbP(B).$



Does anyone have any suggestions on how to figure this out, or even if this formula is the one I should be using?



Thanks in advance!



Edit: I know there is a geometric distribution involved.










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    The question is as follows:




    You roll two fair dice over and over. Let $A$ be the event you see two even sums. Let $B$ be the event you see a sum of $7$ four times. What is the probability that event $A$ occurs before event $B$?




    I know that for mutually exclusive events with independent trials, the probability that event $E$ occurs before event $F$ is
    $$fracmathbbP(E)mathbbP(E) + mathbbP(F).$$
    I tried using this formula, but I ran into a problem. I calculated
    $$mathbbP(A)=frac12cdot frac12=frac14 textand mathbbP(B)=left ( frac16 right )^4=frac11296.$$
    However, I then realized that these probabilites are the events that two even sums occur $textitin a row,$ and similarly for my $mathbbP(B).$



    Does anyone have any suggestions on how to figure this out, or even if this formula is the one I should be using?



    Thanks in advance!



    Edit: I know there is a geometric distribution involved.










    share|cite|improve this question























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      The question is as follows:




      You roll two fair dice over and over. Let $A$ be the event you see two even sums. Let $B$ be the event you see a sum of $7$ four times. What is the probability that event $A$ occurs before event $B$?




      I know that for mutually exclusive events with independent trials, the probability that event $E$ occurs before event $F$ is
      $$fracmathbbP(E)mathbbP(E) + mathbbP(F).$$
      I tried using this formula, but I ran into a problem. I calculated
      $$mathbbP(A)=frac12cdot frac12=frac14 textand mathbbP(B)=left ( frac16 right )^4=frac11296.$$
      However, I then realized that these probabilites are the events that two even sums occur $textitin a row,$ and similarly for my $mathbbP(B).$



      Does anyone have any suggestions on how to figure this out, or even if this formula is the one I should be using?



      Thanks in advance!



      Edit: I know there is a geometric distribution involved.










      share|cite|improve this question













      The question is as follows:




      You roll two fair dice over and over. Let $A$ be the event you see two even sums. Let $B$ be the event you see a sum of $7$ four times. What is the probability that event $A$ occurs before event $B$?




      I know that for mutually exclusive events with independent trials, the probability that event $E$ occurs before event $F$ is
      $$fracmathbbP(E)mathbbP(E) + mathbbP(F).$$
      I tried using this formula, but I ran into a problem. I calculated
      $$mathbbP(A)=frac12cdot frac12=frac14 textand mathbbP(B)=left ( frac16 right )^4=frac11296.$$
      However, I then realized that these probabilites are the events that two even sums occur $textitin a row,$ and similarly for my $mathbbP(B).$



      Does anyone have any suggestions on how to figure this out, or even if this formula is the one I should be using?



      Thanks in advance!



      Edit: I know there is a geometric distribution involved.







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      asked 2 hours ago









      StatGuy

      44719




      44719




















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          You have two Bernoulli processes,$S_A$ and $S_B$, and you are asked about the probability that the 2nd arrival in $S_A$ process occurs before the 4th arrival in $S_B$ process. PMF of the time of $k$-th arrival in a Bernoulli process with probability of success $p$ is
          $$p_X_k(t)=binomt-1k-1p^k(1-p)^t-k, t=k,k+1,ldots$$




          PS: the events "sum is even" and "sum is 7" are dependent, and it makes the question tricky indeed.






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            I would do a Markov chain with the states being the number of even rolls/the number of seven rolls. Work backwards starting from the state that you have seen one even roll and three $7$s. What is the chance that A comes first from there?






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              2 Answers
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              active

              oldest

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              2 Answers
              2






              active

              oldest

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              active

              oldest

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              active

              oldest

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              up vote
              2
              down vote



              accepted










              You have two Bernoulli processes,$S_A$ and $S_B$, and you are asked about the probability that the 2nd arrival in $S_A$ process occurs before the 4th arrival in $S_B$ process. PMF of the time of $k$-th arrival in a Bernoulli process with probability of success $p$ is
              $$p_X_k(t)=binomt-1k-1p^k(1-p)^t-k, t=k,k+1,ldots$$




              PS: the events "sum is even" and "sum is 7" are dependent, and it makes the question tricky indeed.






              share|cite|improve this answer


























                up vote
                2
                down vote



                accepted










                You have two Bernoulli processes,$S_A$ and $S_B$, and you are asked about the probability that the 2nd arrival in $S_A$ process occurs before the 4th arrival in $S_B$ process. PMF of the time of $k$-th arrival in a Bernoulli process with probability of success $p$ is
                $$p_X_k(t)=binomt-1k-1p^k(1-p)^t-k, t=k,k+1,ldots$$




                PS: the events "sum is even" and "sum is 7" are dependent, and it makes the question tricky indeed.






                share|cite|improve this answer
























                  up vote
                  2
                  down vote



                  accepted







                  up vote
                  2
                  down vote



                  accepted






                  You have two Bernoulli processes,$S_A$ and $S_B$, and you are asked about the probability that the 2nd arrival in $S_A$ process occurs before the 4th arrival in $S_B$ process. PMF of the time of $k$-th arrival in a Bernoulli process with probability of success $p$ is
                  $$p_X_k(t)=binomt-1k-1p^k(1-p)^t-k, t=k,k+1,ldots$$




                  PS: the events "sum is even" and "sum is 7" are dependent, and it makes the question tricky indeed.






                  share|cite|improve this answer














                  You have two Bernoulli processes,$S_A$ and $S_B$, and you are asked about the probability that the 2nd arrival in $S_A$ process occurs before the 4th arrival in $S_B$ process. PMF of the time of $k$-th arrival in a Bernoulli process with probability of success $p$ is
                  $$p_X_k(t)=binomt-1k-1p^k(1-p)^t-k, t=k,k+1,ldots$$




                  PS: the events "sum is even" and "sum is 7" are dependent, and it makes the question tricky indeed.







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited 1 hour ago

























                  answered 2 hours ago









                  kludg

                  914511




                  914511




















                      up vote
                      3
                      down vote













                      I would do a Markov chain with the states being the number of even rolls/the number of seven rolls. Work backwards starting from the state that you have seen one even roll and three $7$s. What is the chance that A comes first from there?






                      share|cite|improve this answer
























                        up vote
                        3
                        down vote













                        I would do a Markov chain with the states being the number of even rolls/the number of seven rolls. Work backwards starting from the state that you have seen one even roll and three $7$s. What is the chance that A comes first from there?






                        share|cite|improve this answer






















                          up vote
                          3
                          down vote










                          up vote
                          3
                          down vote









                          I would do a Markov chain with the states being the number of even rolls/the number of seven rolls. Work backwards starting from the state that you have seen one even roll and three $7$s. What is the chance that A comes first from there?






                          share|cite|improve this answer












                          I would do a Markov chain with the states being the number of even rolls/the number of seven rolls. Work backwards starting from the state that you have seen one even roll and three $7$s. What is the chance that A comes first from there?







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered 2 hours ago









                          Ross Millikan

                          284k23193361




                          284k23193361



























                               

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