Compute $ P{X_1 = 3 | X = 10 } $, $ X sim Pois(10) $












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Suppose $ X$ is the number of people entering a store in an hour and $ X sim Pois(10) $. Compute the probability that at most 3 men enter the store if it is known that 10 women already entered. What assumptions do you make?




I guess the assumption need to make is that the chance of a female male entering the store is the same $ (0.5) $ and therefore the number of men entering the store is also poisson distribution with $ lambda = 5 $ ?



Not sure how to proceed from here (if it is true)? Lets say $ X_1 $ is number of men entering the store (with the values $ 0,1,2,3 $ ) and $ X_2 $ number of women.



$ P{X_1 = 3 | X_2 = 10 } = frac{P{X_1 = 3, X_2 = 10 }}{P{X_2 = 10 }} $










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    0












    $begingroup$



    Suppose $ X$ is the number of people entering a store in an hour and $ X sim Pois(10) $. Compute the probability that at most 3 men enter the store if it is known that 10 women already entered. What assumptions do you make?




    I guess the assumption need to make is that the chance of a female male entering the store is the same $ (0.5) $ and therefore the number of men entering the store is also poisson distribution with $ lambda = 5 $ ?



    Not sure how to proceed from here (if it is true)? Lets say $ X_1 $ is number of men entering the store (with the values $ 0,1,2,3 $ ) and $ X_2 $ number of women.



    $ P{X_1 = 3 | X_2 = 10 } = frac{P{X_1 = 3, X_2 = 10 }}{P{X_2 = 10 }} $










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$



      Suppose $ X$ is the number of people entering a store in an hour and $ X sim Pois(10) $. Compute the probability that at most 3 men enter the store if it is known that 10 women already entered. What assumptions do you make?




      I guess the assumption need to make is that the chance of a female male entering the store is the same $ (0.5) $ and therefore the number of men entering the store is also poisson distribution with $ lambda = 5 $ ?



      Not sure how to proceed from here (if it is true)? Lets say $ X_1 $ is number of men entering the store (with the values $ 0,1,2,3 $ ) and $ X_2 $ number of women.



      $ P{X_1 = 3 | X_2 = 10 } = frac{P{X_1 = 3, X_2 = 10 }}{P{X_2 = 10 }} $










      share|cite|improve this question









      $endgroup$





      Suppose $ X$ is the number of people entering a store in an hour and $ X sim Pois(10) $. Compute the probability that at most 3 men enter the store if it is known that 10 women already entered. What assumptions do you make?




      I guess the assumption need to make is that the chance of a female male entering the store is the same $ (0.5) $ and therefore the number of men entering the store is also poisson distribution with $ lambda = 5 $ ?



      Not sure how to proceed from here (if it is true)? Lets say $ X_1 $ is number of men entering the store (with the values $ 0,1,2,3 $ ) and $ X_2 $ number of women.



      $ P{X_1 = 3 | X_2 = 10 } = frac{P{X_1 = 3, X_2 = 10 }}{P{X_2 = 10 }} $







      probability poisson-distribution






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      asked Dec 31 '18 at 13:15









      bm1125bm1125

      64016




      64016






















          1 Answer
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          $begingroup$

          Since further info lacks you are entitled to go for the following:



          $X=X_1+X_2$ where $X_1,X_2$ are iid and have Poisson distribution with rate $lambda=5$.



          The independence tells us that: $$P(X_1leq3mid X_2=10)=P(X_1leq3)$$






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            You mean $ X_1 , X_2 $ are the number of the men and women entering the store with $ lambda = 5 $ each??
            $endgroup$
            – bm1125
            Dec 31 '18 at 14:08










          • $begingroup$
            Yes, that is what I mean. Then $X=X_1+X_2$ has Poisson distribution with rate $10$. The number of men entering the shop will not depend on the number of women (unless they come by e.g. pairs, but no info is given about that).
            $endgroup$
            – drhab
            Dec 31 '18 at 15:02













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          1 Answer
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          1 Answer
          1






          active

          oldest

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          active

          oldest

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          active

          oldest

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          1












          $begingroup$

          Since further info lacks you are entitled to go for the following:



          $X=X_1+X_2$ where $X_1,X_2$ are iid and have Poisson distribution with rate $lambda=5$.



          The independence tells us that: $$P(X_1leq3mid X_2=10)=P(X_1leq3)$$






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            You mean $ X_1 , X_2 $ are the number of the men and women entering the store with $ lambda = 5 $ each??
            $endgroup$
            – bm1125
            Dec 31 '18 at 14:08










          • $begingroup$
            Yes, that is what I mean. Then $X=X_1+X_2$ has Poisson distribution with rate $10$. The number of men entering the shop will not depend on the number of women (unless they come by e.g. pairs, but no info is given about that).
            $endgroup$
            – drhab
            Dec 31 '18 at 15:02


















          1












          $begingroup$

          Since further info lacks you are entitled to go for the following:



          $X=X_1+X_2$ where $X_1,X_2$ are iid and have Poisson distribution with rate $lambda=5$.



          The independence tells us that: $$P(X_1leq3mid X_2=10)=P(X_1leq3)$$






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            You mean $ X_1 , X_2 $ are the number of the men and women entering the store with $ lambda = 5 $ each??
            $endgroup$
            – bm1125
            Dec 31 '18 at 14:08










          • $begingroup$
            Yes, that is what I mean. Then $X=X_1+X_2$ has Poisson distribution with rate $10$. The number of men entering the shop will not depend on the number of women (unless they come by e.g. pairs, but no info is given about that).
            $endgroup$
            – drhab
            Dec 31 '18 at 15:02
















          1












          1








          1





          $begingroup$

          Since further info lacks you are entitled to go for the following:



          $X=X_1+X_2$ where $X_1,X_2$ are iid and have Poisson distribution with rate $lambda=5$.



          The independence tells us that: $$P(X_1leq3mid X_2=10)=P(X_1leq3)$$






          share|cite|improve this answer









          $endgroup$



          Since further info lacks you are entitled to go for the following:



          $X=X_1+X_2$ where $X_1,X_2$ are iid and have Poisson distribution with rate $lambda=5$.



          The independence tells us that: $$P(X_1leq3mid X_2=10)=P(X_1leq3)$$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Dec 31 '18 at 13:43









          drhabdrhab

          99.1k544130




          99.1k544130












          • $begingroup$
            You mean $ X_1 , X_2 $ are the number of the men and women entering the store with $ lambda = 5 $ each??
            $endgroup$
            – bm1125
            Dec 31 '18 at 14:08










          • $begingroup$
            Yes, that is what I mean. Then $X=X_1+X_2$ has Poisson distribution with rate $10$. The number of men entering the shop will not depend on the number of women (unless they come by e.g. pairs, but no info is given about that).
            $endgroup$
            – drhab
            Dec 31 '18 at 15:02




















          • $begingroup$
            You mean $ X_1 , X_2 $ are the number of the men and women entering the store with $ lambda = 5 $ each??
            $endgroup$
            – bm1125
            Dec 31 '18 at 14:08










          • $begingroup$
            Yes, that is what I mean. Then $X=X_1+X_2$ has Poisson distribution with rate $10$. The number of men entering the shop will not depend on the number of women (unless they come by e.g. pairs, but no info is given about that).
            $endgroup$
            – drhab
            Dec 31 '18 at 15:02


















          $begingroup$
          You mean $ X_1 , X_2 $ are the number of the men and women entering the store with $ lambda = 5 $ each??
          $endgroup$
          – bm1125
          Dec 31 '18 at 14:08




          $begingroup$
          You mean $ X_1 , X_2 $ are the number of the men and women entering the store with $ lambda = 5 $ each??
          $endgroup$
          – bm1125
          Dec 31 '18 at 14:08












          $begingroup$
          Yes, that is what I mean. Then $X=X_1+X_2$ has Poisson distribution with rate $10$. The number of men entering the shop will not depend on the number of women (unless they come by e.g. pairs, but no info is given about that).
          $endgroup$
          – drhab
          Dec 31 '18 at 15:02






          $begingroup$
          Yes, that is what I mean. Then $X=X_1+X_2$ has Poisson distribution with rate $10$. The number of men entering the shop will not depend on the number of women (unless they come by e.g. pairs, but no info is given about that).
          $endgroup$
          – drhab
          Dec 31 '18 at 15:02




















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