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Probability of failing before a second condition


Calculating the probability that throwing two dice will yield a higher number than throwing one dieProbability with $n$ successes before $m$ failuresThe probability of success if rolling two dice and taking the lower resultGame of Dice and probability of playingProbability of winning this dice gameDifficult ProbabilityProbability that any outcome of a dice roll happens more than X times out of Y trialsRolling two doubles with 4 and 5, 6 sided diceProbability question - clueless about mathI roll two dice, where the first die gets a +1 bonus to it's roll













0












$begingroup$


This question came up during a D&D game I was playing in and I found that I was unable to come up with an answer. I believe this should be a summation question, but I may be entirely off:



You roll a 20 sided die. A success is defined as rolling 16 or higher and failure is defined as rolling 15 or lower. You roll the die until 60 trials have been completed or you accumulate 6 failures. What is the probability of accumulating 6 failures, and how would you find the probability of lasting an arbitrary number of trials before accumulating 6 failures?










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$endgroup$











  • $begingroup$
    Good grief, who are they trying to defeat?! :-o
    $endgroup$
    – Brian Tung
    Mar 29 at 17:25















0












$begingroup$


This question came up during a D&D game I was playing in and I found that I was unable to come up with an answer. I believe this should be a summation question, but I may be entirely off:



You roll a 20 sided die. A success is defined as rolling 16 or higher and failure is defined as rolling 15 or lower. You roll the die until 60 trials have been completed or you accumulate 6 failures. What is the probability of accumulating 6 failures, and how would you find the probability of lasting an arbitrary number of trials before accumulating 6 failures?










share|cite|improve this question









$endgroup$











  • $begingroup$
    Good grief, who are they trying to defeat?! :-o
    $endgroup$
    – Brian Tung
    Mar 29 at 17:25













0












0








0





$begingroup$


This question came up during a D&D game I was playing in and I found that I was unable to come up with an answer. I believe this should be a summation question, but I may be entirely off:



You roll a 20 sided die. A success is defined as rolling 16 or higher and failure is defined as rolling 15 or lower. You roll the die until 60 trials have been completed or you accumulate 6 failures. What is the probability of accumulating 6 failures, and how would you find the probability of lasting an arbitrary number of trials before accumulating 6 failures?










share|cite|improve this question









$endgroup$




This question came up during a D&D game I was playing in and I found that I was unable to come up with an answer. I believe this should be a summation question, but I may be entirely off:



You roll a 20 sided die. A success is defined as rolling 16 or higher and failure is defined as rolling 15 or lower. You roll the die until 60 trials have been completed or you accumulate 6 failures. What is the probability of accumulating 6 failures, and how would you find the probability of lasting an arbitrary number of trials before accumulating 6 failures?







probability dice






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asked Mar 29 at 16:35









Rudy BakinRudy Bakin

52




52











  • $begingroup$
    Good grief, who are they trying to defeat?! :-o
    $endgroup$
    – Brian Tung
    Mar 29 at 17:25
















  • $begingroup$
    Good grief, who are they trying to defeat?! :-o
    $endgroup$
    – Brian Tung
    Mar 29 at 17:25















$begingroup$
Good grief, who are they trying to defeat?! :-o
$endgroup$
– Brian Tung
Mar 29 at 17:25




$begingroup$
Good grief, who are they trying to defeat?! :-o
$endgroup$
– Brian Tung
Mar 29 at 17:25










1 Answer
1






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0












$begingroup$

I will answer the easiest first. You want the probability that in 60 rolls, you roll 16 or higher all but at most five times. That is a binomial probability. The probability of survival is given by this formula:



$$sum_k=0^5 dbinom60kleft(dfrac14right)^60-kleft(dfrac34right)^k approx 1times 10^-25%$$



Now, the probability that you can survive a given number of trials is:



You have 100% probability of surviving up to 5 trials.
Probability that you survive up to $n$ trials (for $nge 6$):
$$sum_k=0^5 dbinomnkleft(dfrac14right)^n-kleft(dfrac34right)^k$$



Probability you lose on the $n$-th trial:
$$dbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6$$



Expected number of trials before finally succumbing to luck:
$$sum_nge 6ndbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6 = 8$$



You can expect to fail by the eighth trial (on average).






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    1 Answer
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    0












    $begingroup$

    I will answer the easiest first. You want the probability that in 60 rolls, you roll 16 or higher all but at most five times. That is a binomial probability. The probability of survival is given by this formula:



    $$sum_k=0^5 dbinom60kleft(dfrac14right)^60-kleft(dfrac34right)^k approx 1times 10^-25%$$



    Now, the probability that you can survive a given number of trials is:



    You have 100% probability of surviving up to 5 trials.
    Probability that you survive up to $n$ trials (for $nge 6$):
    $$sum_k=0^5 dbinomnkleft(dfrac14right)^n-kleft(dfrac34right)^k$$



    Probability you lose on the $n$-th trial:
    $$dbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6$$



    Expected number of trials before finally succumbing to luck:
    $$sum_nge 6ndbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6 = 8$$



    You can expect to fail by the eighth trial (on average).






    share|cite|improve this answer









    $endgroup$

















      0












      $begingroup$

      I will answer the easiest first. You want the probability that in 60 rolls, you roll 16 or higher all but at most five times. That is a binomial probability. The probability of survival is given by this formula:



      $$sum_k=0^5 dbinom60kleft(dfrac14right)^60-kleft(dfrac34right)^k approx 1times 10^-25%$$



      Now, the probability that you can survive a given number of trials is:



      You have 100% probability of surviving up to 5 trials.
      Probability that you survive up to $n$ trials (for $nge 6$):
      $$sum_k=0^5 dbinomnkleft(dfrac14right)^n-kleft(dfrac34right)^k$$



      Probability you lose on the $n$-th trial:
      $$dbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6$$



      Expected number of trials before finally succumbing to luck:
      $$sum_nge 6ndbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6 = 8$$



      You can expect to fail by the eighth trial (on average).






      share|cite|improve this answer









      $endgroup$















        0












        0








        0





        $begingroup$

        I will answer the easiest first. You want the probability that in 60 rolls, you roll 16 or higher all but at most five times. That is a binomial probability. The probability of survival is given by this formula:



        $$sum_k=0^5 dbinom60kleft(dfrac14right)^60-kleft(dfrac34right)^k approx 1times 10^-25%$$



        Now, the probability that you can survive a given number of trials is:



        You have 100% probability of surviving up to 5 trials.
        Probability that you survive up to $n$ trials (for $nge 6$):
        $$sum_k=0^5 dbinomnkleft(dfrac14right)^n-kleft(dfrac34right)^k$$



        Probability you lose on the $n$-th trial:
        $$dbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6$$



        Expected number of trials before finally succumbing to luck:
        $$sum_nge 6ndbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6 = 8$$



        You can expect to fail by the eighth trial (on average).






        share|cite|improve this answer









        $endgroup$



        I will answer the easiest first. You want the probability that in 60 rolls, you roll 16 or higher all but at most five times. That is a binomial probability. The probability of survival is given by this formula:



        $$sum_k=0^5 dbinom60kleft(dfrac14right)^60-kleft(dfrac34right)^k approx 1times 10^-25%$$



        Now, the probability that you can survive a given number of trials is:



        You have 100% probability of surviving up to 5 trials.
        Probability that you survive up to $n$ trials (for $nge 6$):
        $$sum_k=0^5 dbinomnkleft(dfrac14right)^n-kleft(dfrac34right)^k$$



        Probability you lose on the $n$-th trial:
        $$dbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6$$



        Expected number of trials before finally succumbing to luck:
        $$sum_nge 6ndbinomn-15left(dfrac14right)^n-6left(dfrac34right)^6 = 8$$



        You can expect to fail by the eighth trial (on average).







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Mar 29 at 16:49









        InterstellarProbeInterstellarProbe

        3,154728




        3,154728



























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