Probability there is at least one item left from each type of item after random choose [closed]












0












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I'm thinking about the following:



I have 3 types of things, 3 identical pieces of each. Each of 5 people randomly choose 1 item. What is the probability that there still is at least 1 item left from each type?



I was thinking about combination with repetition, which however doesnt consider who gets what.



Thank you in advance.










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closed as off-topic by amWhy, José Carlos Santos, Brahadeesh, user10354138, Gibbs Dec 6 '18 at 20:16


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." – amWhy, José Carlos Santos, Brahadeesh, user10354138, Gibbs

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





















    0












    $begingroup$


    I'm thinking about the following:



    I have 3 types of things, 3 identical pieces of each. Each of 5 people randomly choose 1 item. What is the probability that there still is at least 1 item left from each type?



    I was thinking about combination with repetition, which however doesnt consider who gets what.



    Thank you in advance.










    share|cite|improve this question









    $endgroup$



    closed as off-topic by amWhy, José Carlos Santos, Brahadeesh, user10354138, Gibbs Dec 6 '18 at 20:16


    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." – amWhy, José Carlos Santos, Brahadeesh, user10354138, Gibbs

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



















      0












      0








      0


      0



      $begingroup$


      I'm thinking about the following:



      I have 3 types of things, 3 identical pieces of each. Each of 5 people randomly choose 1 item. What is the probability that there still is at least 1 item left from each type?



      I was thinking about combination with repetition, which however doesnt consider who gets what.



      Thank you in advance.










      share|cite|improve this question









      $endgroup$




      I'm thinking about the following:



      I have 3 types of things, 3 identical pieces of each. Each of 5 people randomly choose 1 item. What is the probability that there still is at least 1 item left from each type?



      I was thinking about combination with repetition, which however doesnt consider who gets what.



      Thank you in advance.







      probability






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      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Dec 6 '18 at 10:23









      dwarf_dzdwarf_dz

      1




      1




      closed as off-topic by amWhy, José Carlos Santos, Brahadeesh, user10354138, Gibbs Dec 6 '18 at 20:16


      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." – amWhy, José Carlos Santos, Brahadeesh, user10354138, Gibbs

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







      closed as off-topic by amWhy, José Carlos Santos, Brahadeesh, user10354138, Gibbs Dec 6 '18 at 20:16


      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." – amWhy, José Carlos Santos, Brahadeesh, user10354138, Gibbs

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






















          2 Answers
          2






          active

          oldest

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          1












          $begingroup$

          Let's call your items $a_{11}$ through $a_{33}$, with $a_{11},a_{12},a_{13}$ being of type $t_1$, same for $t_2$ and $t_3$.



          There are ${9choose 4}$ equiprobable final configurations after 5 items have been selected. Let's compute the number of configurations where at least one item of each kind is left.



          There are 3 cases we want to look at:





          • $C_1$ : 2 of $t_1$, 1 of $t_2$, 1 of $t_3$


          • $C_2$ : 1 of $t_1$, 2 of $t_2$, 1 of $t_3$


          • $C_3$ : 1 of $t_1$, 1 of $t_2$, 2 of $t_3$


          They're mutually exclusive and symmetric so we can just compute the first case and the end result is 3 times that.



          To get a case $C_1$, we remove one of three from $t_1$, we keep one of three from $t_2$, we keep one of three from $t_3$, so the number of cases $C_1$ is $N(C_1) = 3 * 3 * 3 = 3^3$.



          The number of admissible configurations is then $3N(C_1) = 3^4$, which means the probability of getting an admissible configuration is :



          $$frac{3^4}{{9choose 4}} = frac{9}{14}$$






          share|cite|improve this answer











          $endgroup$





















            1












            $begingroup$

            Number the types with $i=1,2,3$.



            Let $E$ denote the event that still $1$ item of each kind is left.



            Let $A_i$ denote the event that no items are left from the $i$-th type.



            Then: $$E^{complement}=A_1cup A_2cup A_3$$



            Moreover the events $A_1,A_2,A_3$ are mutually exclusive and equiprobable so that $$P(E)=1-P(E^{complement})=1-P(A_1)-P(A_2)-P(A_3)=1-3P(A_1)$$



            Here: $$P(A_1)=frac{binom33binom62}{binom95}=frac5{42}$$ corresponding with a selection of $5$ items out of $9$ where exactly $3$ items of type $1$ are selected.



            So we end up with: $$P(E)=1-3cdotfrac5{42}=frac{27}{42}=frac9{14}$$






            share|cite|improve this answer











            $endgroup$




















              2 Answers
              2






              active

              oldest

              votes








              2 Answers
              2






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes









              1












              $begingroup$

              Let's call your items $a_{11}$ through $a_{33}$, with $a_{11},a_{12},a_{13}$ being of type $t_1$, same for $t_2$ and $t_3$.



              There are ${9choose 4}$ equiprobable final configurations after 5 items have been selected. Let's compute the number of configurations where at least one item of each kind is left.



              There are 3 cases we want to look at:





              • $C_1$ : 2 of $t_1$, 1 of $t_2$, 1 of $t_3$


              • $C_2$ : 1 of $t_1$, 2 of $t_2$, 1 of $t_3$


              • $C_3$ : 1 of $t_1$, 1 of $t_2$, 2 of $t_3$


              They're mutually exclusive and symmetric so we can just compute the first case and the end result is 3 times that.



              To get a case $C_1$, we remove one of three from $t_1$, we keep one of three from $t_2$, we keep one of three from $t_3$, so the number of cases $C_1$ is $N(C_1) = 3 * 3 * 3 = 3^3$.



              The number of admissible configurations is then $3N(C_1) = 3^4$, which means the probability of getting an admissible configuration is :



              $$frac{3^4}{{9choose 4}} = frac{9}{14}$$






              share|cite|improve this answer











              $endgroup$


















                1












                $begingroup$

                Let's call your items $a_{11}$ through $a_{33}$, with $a_{11},a_{12},a_{13}$ being of type $t_1$, same for $t_2$ and $t_3$.



                There are ${9choose 4}$ equiprobable final configurations after 5 items have been selected. Let's compute the number of configurations where at least one item of each kind is left.



                There are 3 cases we want to look at:





                • $C_1$ : 2 of $t_1$, 1 of $t_2$, 1 of $t_3$


                • $C_2$ : 1 of $t_1$, 2 of $t_2$, 1 of $t_3$


                • $C_3$ : 1 of $t_1$, 1 of $t_2$, 2 of $t_3$


                They're mutually exclusive and symmetric so we can just compute the first case and the end result is 3 times that.



                To get a case $C_1$, we remove one of three from $t_1$, we keep one of three from $t_2$, we keep one of three from $t_3$, so the number of cases $C_1$ is $N(C_1) = 3 * 3 * 3 = 3^3$.



                The number of admissible configurations is then $3N(C_1) = 3^4$, which means the probability of getting an admissible configuration is :



                $$frac{3^4}{{9choose 4}} = frac{9}{14}$$






                share|cite|improve this answer











                $endgroup$
















                  1












                  1








                  1





                  $begingroup$

                  Let's call your items $a_{11}$ through $a_{33}$, with $a_{11},a_{12},a_{13}$ being of type $t_1$, same for $t_2$ and $t_3$.



                  There are ${9choose 4}$ equiprobable final configurations after 5 items have been selected. Let's compute the number of configurations where at least one item of each kind is left.



                  There are 3 cases we want to look at:





                  • $C_1$ : 2 of $t_1$, 1 of $t_2$, 1 of $t_3$


                  • $C_2$ : 1 of $t_1$, 2 of $t_2$, 1 of $t_3$


                  • $C_3$ : 1 of $t_1$, 1 of $t_2$, 2 of $t_3$


                  They're mutually exclusive and symmetric so we can just compute the first case and the end result is 3 times that.



                  To get a case $C_1$, we remove one of three from $t_1$, we keep one of three from $t_2$, we keep one of three from $t_3$, so the number of cases $C_1$ is $N(C_1) = 3 * 3 * 3 = 3^3$.



                  The number of admissible configurations is then $3N(C_1) = 3^4$, which means the probability of getting an admissible configuration is :



                  $$frac{3^4}{{9choose 4}} = frac{9}{14}$$






                  share|cite|improve this answer











                  $endgroup$



                  Let's call your items $a_{11}$ through $a_{33}$, with $a_{11},a_{12},a_{13}$ being of type $t_1$, same for $t_2$ and $t_3$.



                  There are ${9choose 4}$ equiprobable final configurations after 5 items have been selected. Let's compute the number of configurations where at least one item of each kind is left.



                  There are 3 cases we want to look at:





                  • $C_1$ : 2 of $t_1$, 1 of $t_2$, 1 of $t_3$


                  • $C_2$ : 1 of $t_1$, 2 of $t_2$, 1 of $t_3$


                  • $C_3$ : 1 of $t_1$, 1 of $t_2$, 2 of $t_3$


                  They're mutually exclusive and symmetric so we can just compute the first case and the end result is 3 times that.



                  To get a case $C_1$, we remove one of three from $t_1$, we keep one of three from $t_2$, we keep one of three from $t_3$, so the number of cases $C_1$ is $N(C_1) = 3 * 3 * 3 = 3^3$.



                  The number of admissible configurations is then $3N(C_1) = 3^4$, which means the probability of getting an admissible configuration is :



                  $$frac{3^4}{{9choose 4}} = frac{9}{14}$$







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Dec 6 '18 at 11:03

























                  answered Dec 6 '18 at 10:49









                  RcnScRcnSc

                  1015




                  1015























                      1












                      $begingroup$

                      Number the types with $i=1,2,3$.



                      Let $E$ denote the event that still $1$ item of each kind is left.



                      Let $A_i$ denote the event that no items are left from the $i$-th type.



                      Then: $$E^{complement}=A_1cup A_2cup A_3$$



                      Moreover the events $A_1,A_2,A_3$ are mutually exclusive and equiprobable so that $$P(E)=1-P(E^{complement})=1-P(A_1)-P(A_2)-P(A_3)=1-3P(A_1)$$



                      Here: $$P(A_1)=frac{binom33binom62}{binom95}=frac5{42}$$ corresponding with a selection of $5$ items out of $9$ where exactly $3$ items of type $1$ are selected.



                      So we end up with: $$P(E)=1-3cdotfrac5{42}=frac{27}{42}=frac9{14}$$






                      share|cite|improve this answer











                      $endgroup$


















                        1












                        $begingroup$

                        Number the types with $i=1,2,3$.



                        Let $E$ denote the event that still $1$ item of each kind is left.



                        Let $A_i$ denote the event that no items are left from the $i$-th type.



                        Then: $$E^{complement}=A_1cup A_2cup A_3$$



                        Moreover the events $A_1,A_2,A_3$ are mutually exclusive and equiprobable so that $$P(E)=1-P(E^{complement})=1-P(A_1)-P(A_2)-P(A_3)=1-3P(A_1)$$



                        Here: $$P(A_1)=frac{binom33binom62}{binom95}=frac5{42}$$ corresponding with a selection of $5$ items out of $9$ where exactly $3$ items of type $1$ are selected.



                        So we end up with: $$P(E)=1-3cdotfrac5{42}=frac{27}{42}=frac9{14}$$






                        share|cite|improve this answer











                        $endgroup$
















                          1












                          1








                          1





                          $begingroup$

                          Number the types with $i=1,2,3$.



                          Let $E$ denote the event that still $1$ item of each kind is left.



                          Let $A_i$ denote the event that no items are left from the $i$-th type.



                          Then: $$E^{complement}=A_1cup A_2cup A_3$$



                          Moreover the events $A_1,A_2,A_3$ are mutually exclusive and equiprobable so that $$P(E)=1-P(E^{complement})=1-P(A_1)-P(A_2)-P(A_3)=1-3P(A_1)$$



                          Here: $$P(A_1)=frac{binom33binom62}{binom95}=frac5{42}$$ corresponding with a selection of $5$ items out of $9$ where exactly $3$ items of type $1$ are selected.



                          So we end up with: $$P(E)=1-3cdotfrac5{42}=frac{27}{42}=frac9{14}$$






                          share|cite|improve this answer











                          $endgroup$



                          Number the types with $i=1,2,3$.



                          Let $E$ denote the event that still $1$ item of each kind is left.



                          Let $A_i$ denote the event that no items are left from the $i$-th type.



                          Then: $$E^{complement}=A_1cup A_2cup A_3$$



                          Moreover the events $A_1,A_2,A_3$ are mutually exclusive and equiprobable so that $$P(E)=1-P(E^{complement})=1-P(A_1)-P(A_2)-P(A_3)=1-3P(A_1)$$



                          Here: $$P(A_1)=frac{binom33binom62}{binom95}=frac5{42}$$ corresponding with a selection of $5$ items out of $9$ where exactly $3$ items of type $1$ are selected.



                          So we end up with: $$P(E)=1-3cdotfrac5{42}=frac{27}{42}=frac9{14}$$







                          share|cite|improve this answer














                          share|cite|improve this answer



                          share|cite|improve this answer








                          edited Dec 6 '18 at 11:46

























                          answered Dec 6 '18 at 11:35









                          drhabdrhab

                          101k544130




                          101k544130















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