Probability after $n$ execution with two different probability distributions












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Lets say there's a statement and you want to know of, whether it is correct or not. Given an algorithm which outputs "probably true" or "probably false". In case the statement is correct the probability of "probably true" is $frac{9}{10}$ and in case the statement is incorrect the probability of "probably false" is $frac{6}{10}$.



I see that executing the algorithm many times will in-/decrease the probability of the statement being correct depending on the outputs. But what is the exact probability after $n$ executions?










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    1












    $begingroup$


    Lets say there's a statement and you want to know of, whether it is correct or not. Given an algorithm which outputs "probably true" or "probably false". In case the statement is correct the probability of "probably true" is $frac{9}{10}$ and in case the statement is incorrect the probability of "probably false" is $frac{6}{10}$.



    I see that executing the algorithm many times will in-/decrease the probability of the statement being correct depending on the outputs. But what is the exact probability after $n$ executions?










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      Lets say there's a statement and you want to know of, whether it is correct or not. Given an algorithm which outputs "probably true" or "probably false". In case the statement is correct the probability of "probably true" is $frac{9}{10}$ and in case the statement is incorrect the probability of "probably false" is $frac{6}{10}$.



      I see that executing the algorithm many times will in-/decrease the probability of the statement being correct depending on the outputs. But what is the exact probability after $n$ executions?










      share|cite|improve this question









      $endgroup$




      Lets say there's a statement and you want to know of, whether it is correct or not. Given an algorithm which outputs "probably true" or "probably false". In case the statement is correct the probability of "probably true" is $frac{9}{10}$ and in case the statement is incorrect the probability of "probably false" is $frac{6}{10}$.



      I see that executing the algorithm many times will in-/decrease the probability of the statement being correct depending on the outputs. But what is the exact probability after $n$ executions?







      probability






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      asked Nov 26 '18 at 21:34









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          This is more easily done as an odds calculation. The odds of the statement being correct based solely on a single output of "probably true" are $9:4$ (since the algorithm outputs "probably true" with probability $frac{9}{10}$ for a correct statement and $frac{4}{10}$ for an incorrect statement). The odds based on a single output of "probably false" are $1:6$ for the same reason.



          If different runs of the algorithm are independent, then we can just multiply these together. For example, if the algorithm says "probably true" $3$ times and "probably false" twice, then the combined odds are $$(9:4)^3 cdot (1:6)^2 = 9^3 : 4^3cdot6^2 = 729: 2304 = 81:256$$ so the probability of the statement being correct is $frac{81}{81+256}$.



          This calculation assumes that initially the odds are $1:1$ and the statement is equally likely to be true or false without further information. If you have other information about the odds, you can just use that instead by multiplying that in, as well.






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            $begingroup$

            This is more easily done as an odds calculation. The odds of the statement being correct based solely on a single output of "probably true" are $9:4$ (since the algorithm outputs "probably true" with probability $frac{9}{10}$ for a correct statement and $frac{4}{10}$ for an incorrect statement). The odds based on a single output of "probably false" are $1:6$ for the same reason.



            If different runs of the algorithm are independent, then we can just multiply these together. For example, if the algorithm says "probably true" $3$ times and "probably false" twice, then the combined odds are $$(9:4)^3 cdot (1:6)^2 = 9^3 : 4^3cdot6^2 = 729: 2304 = 81:256$$ so the probability of the statement being correct is $frac{81}{81+256}$.



            This calculation assumes that initially the odds are $1:1$ and the statement is equally likely to be true or false without further information. If you have other information about the odds, you can just use that instead by multiplying that in, as well.






            share|cite|improve this answer









            $endgroup$


















              0












              $begingroup$

              This is more easily done as an odds calculation. The odds of the statement being correct based solely on a single output of "probably true" are $9:4$ (since the algorithm outputs "probably true" with probability $frac{9}{10}$ for a correct statement and $frac{4}{10}$ for an incorrect statement). The odds based on a single output of "probably false" are $1:6$ for the same reason.



              If different runs of the algorithm are independent, then we can just multiply these together. For example, if the algorithm says "probably true" $3$ times and "probably false" twice, then the combined odds are $$(9:4)^3 cdot (1:6)^2 = 9^3 : 4^3cdot6^2 = 729: 2304 = 81:256$$ so the probability of the statement being correct is $frac{81}{81+256}$.



              This calculation assumes that initially the odds are $1:1$ and the statement is equally likely to be true or false without further information. If you have other information about the odds, you can just use that instead by multiplying that in, as well.






              share|cite|improve this answer









              $endgroup$
















                0












                0








                0





                $begingroup$

                This is more easily done as an odds calculation. The odds of the statement being correct based solely on a single output of "probably true" are $9:4$ (since the algorithm outputs "probably true" with probability $frac{9}{10}$ for a correct statement and $frac{4}{10}$ for an incorrect statement). The odds based on a single output of "probably false" are $1:6$ for the same reason.



                If different runs of the algorithm are independent, then we can just multiply these together. For example, if the algorithm says "probably true" $3$ times and "probably false" twice, then the combined odds are $$(9:4)^3 cdot (1:6)^2 = 9^3 : 4^3cdot6^2 = 729: 2304 = 81:256$$ so the probability of the statement being correct is $frac{81}{81+256}$.



                This calculation assumes that initially the odds are $1:1$ and the statement is equally likely to be true or false without further information. If you have other information about the odds, you can just use that instead by multiplying that in, as well.






                share|cite|improve this answer









                $endgroup$



                This is more easily done as an odds calculation. The odds of the statement being correct based solely on a single output of "probably true" are $9:4$ (since the algorithm outputs "probably true" with probability $frac{9}{10}$ for a correct statement and $frac{4}{10}$ for an incorrect statement). The odds based on a single output of "probably false" are $1:6$ for the same reason.



                If different runs of the algorithm are independent, then we can just multiply these together. For example, if the algorithm says "probably true" $3$ times and "probably false" twice, then the combined odds are $$(9:4)^3 cdot (1:6)^2 = 9^3 : 4^3cdot6^2 = 729: 2304 = 81:256$$ so the probability of the statement being correct is $frac{81}{81+256}$.



                This calculation assumes that initially the odds are $1:1$ and the statement is equally likely to be true or false without further information. If you have other information about the odds, you can just use that instead by multiplying that in, as well.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Nov 26 '18 at 21:40









                Misha LavrovMisha Lavrov

                45.1k656107




                45.1k656107






























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