$n $ balls and $n$ bins [closed]












2












$begingroup$


Suppose that $n$ balls are thrown independently and uniformly at random
into $n$ bins.



EDIT: Sorry, i write wrong question



Correct is: Find the conditional probability that bin $i$ has one ball given that exactly one ball fell into the first three bins.










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closed as off-topic by Xander Henderson, max_zorn, Leucippus, Eevee Trainer, mrtaurho Jan 14 at 6:23


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Xander Henderson, max_zorn, Leucippus, Eevee Trainer, mrtaurho

If this question can be reworded to fit the rules in the help center, please edit the question.





















    2












    $begingroup$


    Suppose that $n$ balls are thrown independently and uniformly at random
    into $n$ bins.



    EDIT: Sorry, i write wrong question



    Correct is: Find the conditional probability that bin $i$ has one ball given that exactly one ball fell into the first three bins.










    share|cite|improve this question











    $endgroup$



    closed as off-topic by Xander Henderson, max_zorn, Leucippus, Eevee Trainer, mrtaurho Jan 14 at 6:23


    This question appears to be off-topic. The users who voted to close gave this specific reason:


    • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Xander Henderson, max_zorn, Leucippus, Eevee Trainer, mrtaurho

    If this question can be reworded to fit the rules in the help center, please edit the question.



















      2












      2








      2





      $begingroup$


      Suppose that $n$ balls are thrown independently and uniformly at random
      into $n$ bins.



      EDIT: Sorry, i write wrong question



      Correct is: Find the conditional probability that bin $i$ has one ball given that exactly one ball fell into the first three bins.










      share|cite|improve this question











      $endgroup$




      Suppose that $n$ balls are thrown independently and uniformly at random
      into $n$ bins.



      EDIT: Sorry, i write wrong question



      Correct is: Find the conditional probability that bin $i$ has one ball given that exactly one ball fell into the first three bins.







      probability






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      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Jan 14 at 11:32







      user3681666

















      asked Jan 13 at 19:34









      user3681666user3681666

      133




      133




      closed as off-topic by Xander Henderson, max_zorn, Leucippus, Eevee Trainer, mrtaurho Jan 14 at 6:23


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Xander Henderson, max_zorn, Leucippus, Eevee Trainer, mrtaurho

      If this question can be reworded to fit the rules in the help center, please edit the question.







      closed as off-topic by Xander Henderson, max_zorn, Leucippus, Eevee Trainer, mrtaurho Jan 14 at 6:23


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Xander Henderson, max_zorn, Leucippus, Eevee Trainer, mrtaurho

      If this question can be reworded to fit the rules in the help center, please edit the question.






















          1 Answer
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          1












          $begingroup$

          One approach: let $X_1$ and $X_2$ be the number of balls in bins 1 and 2 respectively. Then
          $$P(X_1 < X_2) + P(X_1 > X_2) + P(X_1 = X_2) = 1.$$
          By symmetry, $P(X_1 < X_2) = P(X_1 > X_2)$, so we have
          $$P(X_1 > X_2) = frac{1}{2} (1 - P(X_1 = X_2)).$$
          Now compute $P(X_1 = X_2)$.
          It may help to write it as $$P(X_1 = X_2) = sum_{k=0}^{lfloor n/2 rfloor} P(X_1 = X_2 = k).$$




          begin{align}P(X_1 = X_2 = k) &= P(text{$k$ balls in bin 1, $k$ balls in bin 2, $n-2k$ balls in other bins})\ &= left(binom{n}{k}frac{1}{n^k}right)^2 left(frac{n-2}{n}right)^{n-2k}end{align}







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          $endgroup$













          • $begingroup$
            Thanks for your answer :) But I have no idea how can I solve this sum :/ Can you give some hints?
            $endgroup$
            – user3681666
            Jan 13 at 21:19


















          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1












          $begingroup$

          One approach: let $X_1$ and $X_2$ be the number of balls in bins 1 and 2 respectively. Then
          $$P(X_1 < X_2) + P(X_1 > X_2) + P(X_1 = X_2) = 1.$$
          By symmetry, $P(X_1 < X_2) = P(X_1 > X_2)$, so we have
          $$P(X_1 > X_2) = frac{1}{2} (1 - P(X_1 = X_2)).$$
          Now compute $P(X_1 = X_2)$.
          It may help to write it as $$P(X_1 = X_2) = sum_{k=0}^{lfloor n/2 rfloor} P(X_1 = X_2 = k).$$




          begin{align}P(X_1 = X_2 = k) &= P(text{$k$ balls in bin 1, $k$ balls in bin 2, $n-2k$ balls in other bins})\ &= left(binom{n}{k}frac{1}{n^k}right)^2 left(frac{n-2}{n}right)^{n-2k}end{align}







          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            Thanks for your answer :) But I have no idea how can I solve this sum :/ Can you give some hints?
            $endgroup$
            – user3681666
            Jan 13 at 21:19
















          1












          $begingroup$

          One approach: let $X_1$ and $X_2$ be the number of balls in bins 1 and 2 respectively. Then
          $$P(X_1 < X_2) + P(X_1 > X_2) + P(X_1 = X_2) = 1.$$
          By symmetry, $P(X_1 < X_2) = P(X_1 > X_2)$, so we have
          $$P(X_1 > X_2) = frac{1}{2} (1 - P(X_1 = X_2)).$$
          Now compute $P(X_1 = X_2)$.
          It may help to write it as $$P(X_1 = X_2) = sum_{k=0}^{lfloor n/2 rfloor} P(X_1 = X_2 = k).$$




          begin{align}P(X_1 = X_2 = k) &= P(text{$k$ balls in bin 1, $k$ balls in bin 2, $n-2k$ balls in other bins})\ &= left(binom{n}{k}frac{1}{n^k}right)^2 left(frac{n-2}{n}right)^{n-2k}end{align}







          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            Thanks for your answer :) But I have no idea how can I solve this sum :/ Can you give some hints?
            $endgroup$
            – user3681666
            Jan 13 at 21:19














          1












          1








          1





          $begingroup$

          One approach: let $X_1$ and $X_2$ be the number of balls in bins 1 and 2 respectively. Then
          $$P(X_1 < X_2) + P(X_1 > X_2) + P(X_1 = X_2) = 1.$$
          By symmetry, $P(X_1 < X_2) = P(X_1 > X_2)$, so we have
          $$P(X_1 > X_2) = frac{1}{2} (1 - P(X_1 = X_2)).$$
          Now compute $P(X_1 = X_2)$.
          It may help to write it as $$P(X_1 = X_2) = sum_{k=0}^{lfloor n/2 rfloor} P(X_1 = X_2 = k).$$




          begin{align}P(X_1 = X_2 = k) &= P(text{$k$ balls in bin 1, $k$ balls in bin 2, $n-2k$ balls in other bins})\ &= left(binom{n}{k}frac{1}{n^k}right)^2 left(frac{n-2}{n}right)^{n-2k}end{align}







          share|cite|improve this answer











          $endgroup$



          One approach: let $X_1$ and $X_2$ be the number of balls in bins 1 and 2 respectively. Then
          $$P(X_1 < X_2) + P(X_1 > X_2) + P(X_1 = X_2) = 1.$$
          By symmetry, $P(X_1 < X_2) = P(X_1 > X_2)$, so we have
          $$P(X_1 > X_2) = frac{1}{2} (1 - P(X_1 = X_2)).$$
          Now compute $P(X_1 = X_2)$.
          It may help to write it as $$P(X_1 = X_2) = sum_{k=0}^{lfloor n/2 rfloor} P(X_1 = X_2 = k).$$




          begin{align}P(X_1 = X_2 = k) &= P(text{$k$ balls in bin 1, $k$ balls in bin 2, $n-2k$ balls in other bins})\ &= left(binom{n}{k}frac{1}{n^k}right)^2 left(frac{n-2}{n}right)^{n-2k}end{align}








          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Jan 13 at 21:22

























          answered Jan 13 at 20:00









          angryavianangryavian

          40.6k23380




          40.6k23380












          • $begingroup$
            Thanks for your answer :) But I have no idea how can I solve this sum :/ Can you give some hints?
            $endgroup$
            – user3681666
            Jan 13 at 21:19


















          • $begingroup$
            Thanks for your answer :) But I have no idea how can I solve this sum :/ Can you give some hints?
            $endgroup$
            – user3681666
            Jan 13 at 21:19
















          $begingroup$
          Thanks for your answer :) But I have no idea how can I solve this sum :/ Can you give some hints?
          $endgroup$
          – user3681666
          Jan 13 at 21:19




          $begingroup$
          Thanks for your answer :) But I have no idea how can I solve this sum :/ Can you give some hints?
          $endgroup$
          – user3681666
          Jan 13 at 21:19



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