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How do I find (E|F')?



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Having trouble applying Bayes Theorem to problemWhen to use Total Probability Rule and Bayes' Theorem.Find Probabilty of ~FeverBayes' theorem and total probability problem.Two regular dice are rolled. Given that one of them is a $6$, what is the probability that the other is also a $6$?Bayes Theorem to find nth timeUse of Bayes' Theorem to find false positive rateHow to start with Bayes theoremHow do determine the probability of an event occurring given that two other events occurredHow can I determine the probability that I selected a particular random generator based on an output string?










0












$begingroup$


Assume ' is equal to not or complement here.



Alright, you are given the following information:



p(E)= 1/3
p(F)=1/2
p(E|F)=2/5


You are asked to find p(F|E).



Bayes theorem is:



p(F|E)=p(E|F)p(F) divided by P(E|F)p(F)+p(E|F')p(F')


I know that p(E|F')= 1-p(E'|F')
How do I find p(E|F')?



I know F'=F here.










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    Assume ' is equal to not or complement here.



    Alright, you are given the following information:



    p(E)= 1/3
    p(F)=1/2
    p(E|F)=2/5


    You are asked to find p(F|E).



    Bayes theorem is:



    p(F|E)=p(E|F)p(F) divided by P(E|F)p(F)+p(E|F')p(F')


    I know that p(E|F')= 1-p(E'|F')
    How do I find p(E|F')?



    I know F'=F here.










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      Assume ' is equal to not or complement here.



      Alright, you are given the following information:



      p(E)= 1/3
      p(F)=1/2
      p(E|F)=2/5


      You are asked to find p(F|E).



      Bayes theorem is:



      p(F|E)=p(E|F)p(F) divided by P(E|F)p(F)+p(E|F')p(F')


      I know that p(E|F')= 1-p(E'|F')
      How do I find p(E|F')?



      I know F'=F here.










      share|cite|improve this question









      $endgroup$




      Assume ' is equal to not or complement here.



      Alright, you are given the following information:



      p(E)= 1/3
      p(F)=1/2
      p(E|F)=2/5


      You are asked to find p(F|E).



      Bayes theorem is:



      p(F|E)=p(E|F)p(F) divided by P(E|F)p(F)+p(E|F')p(F')


      I know that p(E|F')= 1-p(E'|F')
      How do I find p(E|F')?



      I know F'=F here.







      probability bayes-theorem






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Dec 15 '14 at 4:21









      munchschairmunchschair

      17610




      17610




















          2 Answers
          2






          active

          oldest

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          0












          $begingroup$

          $P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$






          share|cite|improve this answer









          $endgroup$




















            0












            $begingroup$

            Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.



            Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.



            But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.



            Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.



            Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.






            share|cite|improve this answer









            $endgroup$













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              2 Answers
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              active

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              0












              $begingroup$

              $P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$






              share|cite|improve this answer









              $endgroup$

















                0












                $begingroup$

                $P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$






                share|cite|improve this answer









                $endgroup$















                  0












                  0








                  0





                  $begingroup$

                  $P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$






                  share|cite|improve this answer









                  $endgroup$



                  $P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Dec 15 '14 at 4:26









                  DeepSeaDeepSea

                  71.4k54488




                  71.4k54488





















                      0












                      $begingroup$

                      Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.



                      Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.



                      But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.



                      Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.



                      Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.






                      share|cite|improve this answer









                      $endgroup$

















                        0












                        $begingroup$

                        Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.



                        Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.



                        But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.



                        Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.



                        Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.






                        share|cite|improve this answer









                        $endgroup$















                          0












                          0








                          0





                          $begingroup$

                          Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.



                          Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.



                          But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.



                          Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.



                          Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.






                          share|cite|improve this answer









                          $endgroup$



                          Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.



                          Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.



                          But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.



                          Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.



                          Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered Dec 15 '14 at 5:26









                          André NicolasAndré Nicolas

                          455k36432822




                          455k36432822



























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