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conditional probability of endig up in a specific set


probability of at least one person having a gem of type $n$, etc.Transitive and probabilityProbability of working machine with $3$ componentsConditioning a conditional probability to a sigma algebraConditional probability of playing a gameconditional probability about gamblingProbability of letter transmitting and receivingProbability of geometric random variables in certain orderKnockout tournament probabilityA gambler is playing a game which has a probability 0.6 to wins with $1 and probability 0.4 to lose with $1













1












$begingroup$


Assume we have three initial sets $mathcalA,mathcalB,mathcalC$ and 4 final sets $mathrmA,mathrmB,mathrmC,mathrmX$.
If I know that an element of $mathcalA$ can only end up with probability $a$ in $mathrmA$ and with probability $(1-a)$ in $mathrmX$. An element from $mathcalB$ can only end up with probability $b$ in $mathrmB$ and with prob. $(1-b)$ in $mathrmX$. And finally an element in $mathcalC$ can either end up with $p_1$ in $mathrmA$, with $p_2$ in $mathrmB$, with $p_3$ in $mathrmX$ or with probability $1-p_1-p_2-p_3$ in $mathrmC$.



I am a bit confused on what the conditional probability is:
$$mathbbP(i in mathcalC ; textends up in; mathrmC mid X=)$$
Is it $$frac1-(p_1+p_2+p_3)mathbbP(X=)$$ or $$frac1-(p_1+p_2)mathbbP(X=)$$ since we have that the set X is empty and therefore also no node from $mathcalC$ can be in it?










share|cite|improve this question









$endgroup$
















    1












    $begingroup$


    Assume we have three initial sets $mathcalA,mathcalB,mathcalC$ and 4 final sets $mathrmA,mathrmB,mathrmC,mathrmX$.
    If I know that an element of $mathcalA$ can only end up with probability $a$ in $mathrmA$ and with probability $(1-a)$ in $mathrmX$. An element from $mathcalB$ can only end up with probability $b$ in $mathrmB$ and with prob. $(1-b)$ in $mathrmX$. And finally an element in $mathcalC$ can either end up with $p_1$ in $mathrmA$, with $p_2$ in $mathrmB$, with $p_3$ in $mathrmX$ or with probability $1-p_1-p_2-p_3$ in $mathrmC$.



    I am a bit confused on what the conditional probability is:
    $$mathbbP(i in mathcalC ; textends up in; mathrmC mid X=)$$
    Is it $$frac1-(p_1+p_2+p_3)mathbbP(X=)$$ or $$frac1-(p_1+p_2)mathbbP(X=)$$ since we have that the set X is empty and therefore also no node from $mathcalC$ can be in it?










    share|cite|improve this question









    $endgroup$














      1












      1








      1





      $begingroup$


      Assume we have three initial sets $mathcalA,mathcalB,mathcalC$ and 4 final sets $mathrmA,mathrmB,mathrmC,mathrmX$.
      If I know that an element of $mathcalA$ can only end up with probability $a$ in $mathrmA$ and with probability $(1-a)$ in $mathrmX$. An element from $mathcalB$ can only end up with probability $b$ in $mathrmB$ and with prob. $(1-b)$ in $mathrmX$. And finally an element in $mathcalC$ can either end up with $p_1$ in $mathrmA$, with $p_2$ in $mathrmB$, with $p_3$ in $mathrmX$ or with probability $1-p_1-p_2-p_3$ in $mathrmC$.



      I am a bit confused on what the conditional probability is:
      $$mathbbP(i in mathcalC ; textends up in; mathrmC mid X=)$$
      Is it $$frac1-(p_1+p_2+p_3)mathbbP(X=)$$ or $$frac1-(p_1+p_2)mathbbP(X=)$$ since we have that the set X is empty and therefore also no node from $mathcalC$ can be in it?










      share|cite|improve this question









      $endgroup$




      Assume we have three initial sets $mathcalA,mathcalB,mathcalC$ and 4 final sets $mathrmA,mathrmB,mathrmC,mathrmX$.
      If I know that an element of $mathcalA$ can only end up with probability $a$ in $mathrmA$ and with probability $(1-a)$ in $mathrmX$. An element from $mathcalB$ can only end up with probability $b$ in $mathrmB$ and with prob. $(1-b)$ in $mathrmX$. And finally an element in $mathcalC$ can either end up with $p_1$ in $mathrmA$, with $p_2$ in $mathrmB$, with $p_3$ in $mathrmX$ or with probability $1-p_1-p_2-p_3$ in $mathrmC$.



      I am a bit confused on what the conditional probability is:
      $$mathbbP(i in mathcalC ; textends up in; mathrmC mid X=)$$
      Is it $$frac1-(p_1+p_2+p_3)mathbbP(X=)$$ or $$frac1-(p_1+p_2)mathbbP(X=)$$ since we have that the set X is empty and therefore also no node from $mathcalC$ can be in it?







      probability






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      asked 2 days ago









      AlisatAlisat

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          $begingroup$

          Your first answer is correct by a direct application of Bayes theorem.



          P (i ends up in C | X empty) = P (X empty | i ends up in C) * P(i ends up in C ) / P( X empty )



          What is not present in your expression is P( X empty | i ends up in C ) = 1, but that does not change the result.






          share|cite|improve this answer










          New contributor




          dnqxt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
          Check out our Code of Conduct.






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            $begingroup$

            Your first answer is correct by a direct application of Bayes theorem.



            P (i ends up in C | X empty) = P (X empty | i ends up in C) * P(i ends up in C ) / P( X empty )



            What is not present in your expression is P( X empty | i ends up in C ) = 1, but that does not change the result.






            share|cite|improve this answer










            New contributor




            dnqxt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
            Check out our Code of Conduct.






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              1












              $begingroup$

              Your first answer is correct by a direct application of Bayes theorem.



              P (i ends up in C | X empty) = P (X empty | i ends up in C) * P(i ends up in C ) / P( X empty )



              What is not present in your expression is P( X empty | i ends up in C ) = 1, but that does not change the result.






              share|cite|improve this answer










              New contributor




              dnqxt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
              Check out our Code of Conduct.






              $endgroup$















                1












                1








                1





                $begingroup$

                Your first answer is correct by a direct application of Bayes theorem.



                P (i ends up in C | X empty) = P (X empty | i ends up in C) * P(i ends up in C ) / P( X empty )



                What is not present in your expression is P( X empty | i ends up in C ) = 1, but that does not change the result.






                share|cite|improve this answer










                New contributor




                dnqxt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.






                $endgroup$



                Your first answer is correct by a direct application of Bayes theorem.



                P (i ends up in C | X empty) = P (X empty | i ends up in C) * P(i ends up in C ) / P( X empty )



                What is not present in your expression is P( X empty | i ends up in C ) = 1, but that does not change the result.







                share|cite|improve this answer










                New contributor




                dnqxt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









                share|cite|improve this answer



                share|cite|improve this answer








                edited 2 days ago





















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                answered 2 days ago









                dnqxtdnqxt

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                712




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                New contributor





                dnqxt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                Check out our Code of Conduct.



























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