Why does the conditional probability of having chosen a biased coin given an unusual result decrease with a...












1












$begingroup$


Let's say $1$ out of three coins is biased and lands on tails with probability $p>1/2$



We choose a coin randomly from the three coins and throw that coin $10$ times. Given that it lands on tails $8$ out of $10$ times the probability of having chosen the biased coin is $$P(B|8,2)=frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)}=frac{{10choose8}p^8(1-p)^2cdot{1over3}}{{10choose8}p^8(1-p)^2cdot{1over3}+{10choose8}({1over2})^{10}cdot{2over3}}$$



And this is equal to $0.7746$ if $p=0.8$ or $0.5791$ if $p=0.6$ etc



I would expect that value to increase if we had more than $3$ coins and only one of them was biased with $p=0.8$ but it's not the case.










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$endgroup$












  • $begingroup$
    "I would expect that value to increase if we had more than $10$ coins" Do you mean 10 coins instead of the three in your first paragraph?
    $endgroup$
    – Arthur
    Jan 28 at 16:57












  • $begingroup$
    Please don't post the actual question in the title.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 28 at 16:59
















1












$begingroup$


Let's say $1$ out of three coins is biased and lands on tails with probability $p>1/2$



We choose a coin randomly from the three coins and throw that coin $10$ times. Given that it lands on tails $8$ out of $10$ times the probability of having chosen the biased coin is $$P(B|8,2)=frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)}=frac{{10choose8}p^8(1-p)^2cdot{1over3}}{{10choose8}p^8(1-p)^2cdot{1over3}+{10choose8}({1over2})^{10}cdot{2over3}}$$



And this is equal to $0.7746$ if $p=0.8$ or $0.5791$ if $p=0.6$ etc



I would expect that value to increase if we had more than $3$ coins and only one of them was biased with $p=0.8$ but it's not the case.










share|cite|improve this question











$endgroup$












  • $begingroup$
    "I would expect that value to increase if we had more than $10$ coins" Do you mean 10 coins instead of the three in your first paragraph?
    $endgroup$
    – Arthur
    Jan 28 at 16:57












  • $begingroup$
    Please don't post the actual question in the title.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 28 at 16:59














1












1








1





$begingroup$


Let's say $1$ out of three coins is biased and lands on tails with probability $p>1/2$



We choose a coin randomly from the three coins and throw that coin $10$ times. Given that it lands on tails $8$ out of $10$ times the probability of having chosen the biased coin is $$P(B|8,2)=frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)}=frac{{10choose8}p^8(1-p)^2cdot{1over3}}{{10choose8}p^8(1-p)^2cdot{1over3}+{10choose8}({1over2})^{10}cdot{2over3}}$$



And this is equal to $0.7746$ if $p=0.8$ or $0.5791$ if $p=0.6$ etc



I would expect that value to increase if we had more than $3$ coins and only one of them was biased with $p=0.8$ but it's not the case.










share|cite|improve this question











$endgroup$




Let's say $1$ out of three coins is biased and lands on tails with probability $p>1/2$



We choose a coin randomly from the three coins and throw that coin $10$ times. Given that it lands on tails $8$ out of $10$ times the probability of having chosen the biased coin is $$P(B|8,2)=frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)}=frac{{10choose8}p^8(1-p)^2cdot{1over3}}{{10choose8}p^8(1-p)^2cdot{1over3}+{10choose8}({1over2})^{10}cdot{2over3}}$$



And this is equal to $0.7746$ if $p=0.8$ or $0.5791$ if $p=0.6$ etc



I would expect that value to increase if we had more than $3$ coins and only one of them was biased with $p=0.8$ but it's not the case.







probability binomial-distribution






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edited Jan 28 at 17:04







H. Walter

















asked Jan 28 at 16:54









H. WalterH. Walter

1047




1047












  • $begingroup$
    "I would expect that value to increase if we had more than $10$ coins" Do you mean 10 coins instead of the three in your first paragraph?
    $endgroup$
    – Arthur
    Jan 28 at 16:57












  • $begingroup$
    Please don't post the actual question in the title.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 28 at 16:59


















  • $begingroup$
    "I would expect that value to increase if we had more than $10$ coins" Do you mean 10 coins instead of the three in your first paragraph?
    $endgroup$
    – Arthur
    Jan 28 at 16:57












  • $begingroup$
    Please don't post the actual question in the title.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 28 at 16:59
















$begingroup$
"I would expect that value to increase if we had more than $10$ coins" Do you mean 10 coins instead of the three in your first paragraph?
$endgroup$
– Arthur
Jan 28 at 16:57






$begingroup$
"I would expect that value to increase if we had more than $10$ coins" Do you mean 10 coins instead of the three in your first paragraph?
$endgroup$
– Arthur
Jan 28 at 16:57














$begingroup$
Please don't post the actual question in the title.
$endgroup$
– Mohammad Zuhair Khan
Jan 28 at 16:59




$begingroup$
Please don't post the actual question in the title.
$endgroup$
– Mohammad Zuhair Khan
Jan 28 at 16:59










2 Answers
2






active

oldest

votes


















1












$begingroup$

If you had more than 3 coins, in the fraction
$$
P(B mid 8, 2) = frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)} = frac{P(8,2|B)}{P(8,2|B)+P(8,2|B^c)frac{P(B^c)}{P(B)}}
$$

the only numbers that change are $P(B)$ and $P(B^c)$. Namely, $P(B)$ goes down, and $P(B^c)$ goes up. That means that the denominator goes up, which means your resulting probability goes down.



In Bayesian terms: your evidence $P(8, 2 mid B)$ has not changed, your prior $P(B)$ has gone down, so your posterior $P(B mid 8, 2)$ has also gone down.






share|cite|improve this answer









$endgroup$









  • 1




    $begingroup$
    +1. In intuitive terms, as the total number of coins increases but all else is kept equal, you get the same amount of additional evidence that you picked the biased coin, but less reason to believe that you picked the biased coin in the first place. So that second term in the denominator, which is sort of your "prior skepticism" that you picked a biased coin, increases.
    $endgroup$
    – Ian
    Jan 28 at 17:11





















1












$begingroup$

Here is an appeal to intuition. Think of these two scenarios:




  • You have ten coins, one of which is biased. You pick one of them and toss it ten times, getting 8 tails.

  • You have ten coins, one of which is biased. You eliminate seven of them using some completely certain method. Then you pick up one of the remaining three and toss it ten times, getting tails 8 times.


Which of these scenarios makes you more likely to hold the biased coin, you think? Note that the second case is exactly the same as just starting with three coins.






share|cite|improve this answer









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    2 Answers
    2






    active

    oldest

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    2 Answers
    2






    active

    oldest

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    active

    oldest

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    active

    oldest

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    1












    $begingroup$

    If you had more than 3 coins, in the fraction
    $$
    P(B mid 8, 2) = frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)} = frac{P(8,2|B)}{P(8,2|B)+P(8,2|B^c)frac{P(B^c)}{P(B)}}
    $$

    the only numbers that change are $P(B)$ and $P(B^c)$. Namely, $P(B)$ goes down, and $P(B^c)$ goes up. That means that the denominator goes up, which means your resulting probability goes down.



    In Bayesian terms: your evidence $P(8, 2 mid B)$ has not changed, your prior $P(B)$ has gone down, so your posterior $P(B mid 8, 2)$ has also gone down.






    share|cite|improve this answer









    $endgroup$









    • 1




      $begingroup$
      +1. In intuitive terms, as the total number of coins increases but all else is kept equal, you get the same amount of additional evidence that you picked the biased coin, but less reason to believe that you picked the biased coin in the first place. So that second term in the denominator, which is sort of your "prior skepticism" that you picked a biased coin, increases.
      $endgroup$
      – Ian
      Jan 28 at 17:11


















    1












    $begingroup$

    If you had more than 3 coins, in the fraction
    $$
    P(B mid 8, 2) = frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)} = frac{P(8,2|B)}{P(8,2|B)+P(8,2|B^c)frac{P(B^c)}{P(B)}}
    $$

    the only numbers that change are $P(B)$ and $P(B^c)$. Namely, $P(B)$ goes down, and $P(B^c)$ goes up. That means that the denominator goes up, which means your resulting probability goes down.



    In Bayesian terms: your evidence $P(8, 2 mid B)$ has not changed, your prior $P(B)$ has gone down, so your posterior $P(B mid 8, 2)$ has also gone down.






    share|cite|improve this answer









    $endgroup$









    • 1




      $begingroup$
      +1. In intuitive terms, as the total number of coins increases but all else is kept equal, you get the same amount of additional evidence that you picked the biased coin, but less reason to believe that you picked the biased coin in the first place. So that second term in the denominator, which is sort of your "prior skepticism" that you picked a biased coin, increases.
      $endgroup$
      – Ian
      Jan 28 at 17:11
















    1












    1








    1





    $begingroup$

    If you had more than 3 coins, in the fraction
    $$
    P(B mid 8, 2) = frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)} = frac{P(8,2|B)}{P(8,2|B)+P(8,2|B^c)frac{P(B^c)}{P(B)}}
    $$

    the only numbers that change are $P(B)$ and $P(B^c)$. Namely, $P(B)$ goes down, and $P(B^c)$ goes up. That means that the denominator goes up, which means your resulting probability goes down.



    In Bayesian terms: your evidence $P(8, 2 mid B)$ has not changed, your prior $P(B)$ has gone down, so your posterior $P(B mid 8, 2)$ has also gone down.






    share|cite|improve this answer









    $endgroup$



    If you had more than 3 coins, in the fraction
    $$
    P(B mid 8, 2) = frac{P(8,2|B)P(B)}{P(8,2|B)P(B)+P(8,2|B^c)P(B^c)} = frac{P(8,2|B)}{P(8,2|B)+P(8,2|B^c)frac{P(B^c)}{P(B)}}
    $$

    the only numbers that change are $P(B)$ and $P(B^c)$. Namely, $P(B)$ goes down, and $P(B^c)$ goes up. That means that the denominator goes up, which means your resulting probability goes down.



    In Bayesian terms: your evidence $P(8, 2 mid B)$ has not changed, your prior $P(B)$ has gone down, so your posterior $P(B mid 8, 2)$ has also gone down.







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered Jan 28 at 17:02









    Mees de VriesMees de Vries

    17.6k13059




    17.6k13059








    • 1




      $begingroup$
      +1. In intuitive terms, as the total number of coins increases but all else is kept equal, you get the same amount of additional evidence that you picked the biased coin, but less reason to believe that you picked the biased coin in the first place. So that second term in the denominator, which is sort of your "prior skepticism" that you picked a biased coin, increases.
      $endgroup$
      – Ian
      Jan 28 at 17:11
















    • 1




      $begingroup$
      +1. In intuitive terms, as the total number of coins increases but all else is kept equal, you get the same amount of additional evidence that you picked the biased coin, but less reason to believe that you picked the biased coin in the first place. So that second term in the denominator, which is sort of your "prior skepticism" that you picked a biased coin, increases.
      $endgroup$
      – Ian
      Jan 28 at 17:11










    1




    1




    $begingroup$
    +1. In intuitive terms, as the total number of coins increases but all else is kept equal, you get the same amount of additional evidence that you picked the biased coin, but less reason to believe that you picked the biased coin in the first place. So that second term in the denominator, which is sort of your "prior skepticism" that you picked a biased coin, increases.
    $endgroup$
    – Ian
    Jan 28 at 17:11






    $begingroup$
    +1. In intuitive terms, as the total number of coins increases but all else is kept equal, you get the same amount of additional evidence that you picked the biased coin, but less reason to believe that you picked the biased coin in the first place. So that second term in the denominator, which is sort of your "prior skepticism" that you picked a biased coin, increases.
    $endgroup$
    – Ian
    Jan 28 at 17:11













    1












    $begingroup$

    Here is an appeal to intuition. Think of these two scenarios:




    • You have ten coins, one of which is biased. You pick one of them and toss it ten times, getting 8 tails.

    • You have ten coins, one of which is biased. You eliminate seven of them using some completely certain method. Then you pick up one of the remaining three and toss it ten times, getting tails 8 times.


    Which of these scenarios makes you more likely to hold the biased coin, you think? Note that the second case is exactly the same as just starting with three coins.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      Here is an appeal to intuition. Think of these two scenarios:




      • You have ten coins, one of which is biased. You pick one of them and toss it ten times, getting 8 tails.

      • You have ten coins, one of which is biased. You eliminate seven of them using some completely certain method. Then you pick up one of the remaining three and toss it ten times, getting tails 8 times.


      Which of these scenarios makes you more likely to hold the biased coin, you think? Note that the second case is exactly the same as just starting with three coins.






      share|cite|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        Here is an appeal to intuition. Think of these two scenarios:




        • You have ten coins, one of which is biased. You pick one of them and toss it ten times, getting 8 tails.

        • You have ten coins, one of which is biased. You eliminate seven of them using some completely certain method. Then you pick up one of the remaining three and toss it ten times, getting tails 8 times.


        Which of these scenarios makes you more likely to hold the biased coin, you think? Note that the second case is exactly the same as just starting with three coins.






        share|cite|improve this answer









        $endgroup$



        Here is an appeal to intuition. Think of these two scenarios:




        • You have ten coins, one of which is biased. You pick one of them and toss it ten times, getting 8 tails.

        • You have ten coins, one of which is biased. You eliminate seven of them using some completely certain method. Then you pick up one of the remaining three and toss it ten times, getting tails 8 times.


        Which of these scenarios makes you more likely to hold the biased coin, you think? Note that the second case is exactly the same as just starting with three coins.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Jan 28 at 17:09









        ArthurArthur

        120k7121206




        120k7121206






























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