Probability of labelling people in a lineup











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I was watching this video, in which a "professional astrologer" is tasked with matching up people with their star signs.



(Spoiler alert!) At around the 5:30 mark, 4 of the 12 participants reveal that their star sign was correctly identified.



This leads to the question:
What is the probability of him getting 4 or more star signs correct, and can this be nicely generalised to getting $x$ or more correct answers out of a possible $y$ people?



Note that each of the twelve participants have a different star sign, and so do each of the 12 cards.



There is a similar question here - coincidentally inspired by the same series - however, this focuses on the expected value rather than the general probability.



Thanks,
Sam










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    I was watching this video, in which a "professional astrologer" is tasked with matching up people with their star signs.



    (Spoiler alert!) At around the 5:30 mark, 4 of the 12 participants reveal that their star sign was correctly identified.



    This leads to the question:
    What is the probability of him getting 4 or more star signs correct, and can this be nicely generalised to getting $x$ or more correct answers out of a possible $y$ people?



    Note that each of the twelve participants have a different star sign, and so do each of the 12 cards.



    There is a similar question here - coincidentally inspired by the same series - however, this focuses on the expected value rather than the general probability.



    Thanks,
    Sam










    share|cite|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I was watching this video, in which a "professional astrologer" is tasked with matching up people with their star signs.



      (Spoiler alert!) At around the 5:30 mark, 4 of the 12 participants reveal that their star sign was correctly identified.



      This leads to the question:
      What is the probability of him getting 4 or more star signs correct, and can this be nicely generalised to getting $x$ or more correct answers out of a possible $y$ people?



      Note that each of the twelve participants have a different star sign, and so do each of the 12 cards.



      There is a similar question here - coincidentally inspired by the same series - however, this focuses on the expected value rather than the general probability.



      Thanks,
      Sam










      share|cite|improve this question













      I was watching this video, in which a "professional astrologer" is tasked with matching up people with their star signs.



      (Spoiler alert!) At around the 5:30 mark, 4 of the 12 participants reveal that their star sign was correctly identified.



      This leads to the question:
      What is the probability of him getting 4 or more star signs correct, and can this be nicely generalised to getting $x$ or more correct answers out of a possible $y$ people?



      Note that each of the twelve participants have a different star sign, and so do each of the 12 cards.



      There is a similar question here - coincidentally inspired by the same series - however, this focuses on the expected value rather than the general probability.



      Thanks,
      Sam







      probability combinatorics






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      asked Nov 19 at 20:06









      Samuel Banks

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          Not an explicit answer, but some references.



          What you're looking for is $X = $the number of fixed points in a random permutation. (I.e. if the astrologer guesses a random permutation, how many would he/she guess correctly?)



          The distribution of $X$ can be obtained via the Inclusion-Exclusion Principle. Here is one reference that includes the formula for $P(X = k)$:



          http://demonstrations.wolfram.com/TheNumberOfFixedPointsInARandomPermutation/



          And https://en.wikipedia.org/wiki/Random_permutation_statistics contains a ton more details on related problems, but AFAICT not the explicit formula.






          share|cite|improve this answer





















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            1 Answer
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            1 Answer
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            active

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            active

            oldest

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            active

            oldest

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            up vote
            1
            down vote













            Not an explicit answer, but some references.



            What you're looking for is $X = $the number of fixed points in a random permutation. (I.e. if the astrologer guesses a random permutation, how many would he/she guess correctly?)



            The distribution of $X$ can be obtained via the Inclusion-Exclusion Principle. Here is one reference that includes the formula for $P(X = k)$:



            http://demonstrations.wolfram.com/TheNumberOfFixedPointsInARandomPermutation/



            And https://en.wikipedia.org/wiki/Random_permutation_statistics contains a ton more details on related problems, but AFAICT not the explicit formula.






            share|cite|improve this answer

























              up vote
              1
              down vote













              Not an explicit answer, but some references.



              What you're looking for is $X = $the number of fixed points in a random permutation. (I.e. if the astrologer guesses a random permutation, how many would he/she guess correctly?)



              The distribution of $X$ can be obtained via the Inclusion-Exclusion Principle. Here is one reference that includes the formula for $P(X = k)$:



              http://demonstrations.wolfram.com/TheNumberOfFixedPointsInARandomPermutation/



              And https://en.wikipedia.org/wiki/Random_permutation_statistics contains a ton more details on related problems, but AFAICT not the explicit formula.






              share|cite|improve this answer























                up vote
                1
                down vote










                up vote
                1
                down vote









                Not an explicit answer, but some references.



                What you're looking for is $X = $the number of fixed points in a random permutation. (I.e. if the astrologer guesses a random permutation, how many would he/she guess correctly?)



                The distribution of $X$ can be obtained via the Inclusion-Exclusion Principle. Here is one reference that includes the formula for $P(X = k)$:



                http://demonstrations.wolfram.com/TheNumberOfFixedPointsInARandomPermutation/



                And https://en.wikipedia.org/wiki/Random_permutation_statistics contains a ton more details on related problems, but AFAICT not the explicit formula.






                share|cite|improve this answer












                Not an explicit answer, but some references.



                What you're looking for is $X = $the number of fixed points in a random permutation. (I.e. if the astrologer guesses a random permutation, how many would he/she guess correctly?)



                The distribution of $X$ can be obtained via the Inclusion-Exclusion Principle. Here is one reference that includes the formula for $P(X = k)$:



                http://demonstrations.wolfram.com/TheNumberOfFixedPointsInARandomPermutation/



                And https://en.wikipedia.org/wiki/Random_permutation_statistics contains a ton more details on related problems, but AFAICT not the explicit formula.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Nov 19 at 22:38









                antkam

                1,373112




                1,373112






























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