Is there a better concept than expectation for one time play?











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Given a simple lottery game like




  • Guess the right (random generated) number $in [0,1000]$.

  • Stake = 1€

  • Win= 2001€


the expected outcome is $frac{1}{1001}cdot2001 + frac{1000}{1001}cdot(-1) = 1$.
Hence in the limit, you will win 1€ per play. So far everything is clear.
But what happens if I am only allowed to play the game once? The most probable outcome is not winning.



My main question is:



Is there a mathematical concept that says the expected outcome is -1? (since it is the most probable outcome?)



Going further, adding a second choice of not playing the game but instead always getting 0.80€.



Is there a concept that favors the safe 0.80€ choice over playing the game?










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  • Another criteria to assess a game is the variance which could be regarded as a risk measure. The higher the variance the worse the game for a risk neutral or risk averse player.
    – callculus
    Nov 16 at 12:32












  • You might be interested in "expected utility": en.wikipedia.org/wiki/Expected_utility_hypothesis
    – awkward
    Nov 16 at 13:43















up vote
1
down vote

favorite












Given a simple lottery game like




  • Guess the right (random generated) number $in [0,1000]$.

  • Stake = 1€

  • Win= 2001€


the expected outcome is $frac{1}{1001}cdot2001 + frac{1000}{1001}cdot(-1) = 1$.
Hence in the limit, you will win 1€ per play. So far everything is clear.
But what happens if I am only allowed to play the game once? The most probable outcome is not winning.



My main question is:



Is there a mathematical concept that says the expected outcome is -1? (since it is the most probable outcome?)



Going further, adding a second choice of not playing the game but instead always getting 0.80€.



Is there a concept that favors the safe 0.80€ choice over playing the game?










share|cite|improve this question






















  • Another criteria to assess a game is the variance which could be regarded as a risk measure. The higher the variance the worse the game for a risk neutral or risk averse player.
    – callculus
    Nov 16 at 12:32












  • You might be interested in "expected utility": en.wikipedia.org/wiki/Expected_utility_hypothesis
    – awkward
    Nov 16 at 13:43













up vote
1
down vote

favorite









up vote
1
down vote

favorite











Given a simple lottery game like




  • Guess the right (random generated) number $in [0,1000]$.

  • Stake = 1€

  • Win= 2001€


the expected outcome is $frac{1}{1001}cdot2001 + frac{1000}{1001}cdot(-1) = 1$.
Hence in the limit, you will win 1€ per play. So far everything is clear.
But what happens if I am only allowed to play the game once? The most probable outcome is not winning.



My main question is:



Is there a mathematical concept that says the expected outcome is -1? (since it is the most probable outcome?)



Going further, adding a second choice of not playing the game but instead always getting 0.80€.



Is there a concept that favors the safe 0.80€ choice over playing the game?










share|cite|improve this question













Given a simple lottery game like




  • Guess the right (random generated) number $in [0,1000]$.

  • Stake = 1€

  • Win= 2001€


the expected outcome is $frac{1}{1001}cdot2001 + frac{1000}{1001}cdot(-1) = 1$.
Hence in the limit, you will win 1€ per play. So far everything is clear.
But what happens if I am only allowed to play the game once? The most probable outcome is not winning.



My main question is:



Is there a mathematical concept that says the expected outcome is -1? (since it is the most probable outcome?)



Going further, adding a second choice of not playing the game but instead always getting 0.80€.



Is there a concept that favors the safe 0.80€ choice over playing the game?







probability game-theory






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asked Nov 16 at 12:19









Jobi

83




83












  • Another criteria to assess a game is the variance which could be regarded as a risk measure. The higher the variance the worse the game for a risk neutral or risk averse player.
    – callculus
    Nov 16 at 12:32












  • You might be interested in "expected utility": en.wikipedia.org/wiki/Expected_utility_hypothesis
    – awkward
    Nov 16 at 13:43


















  • Another criteria to assess a game is the variance which could be regarded as a risk measure. The higher the variance the worse the game for a risk neutral or risk averse player.
    – callculus
    Nov 16 at 12:32












  • You might be interested in "expected utility": en.wikipedia.org/wiki/Expected_utility_hypothesis
    – awkward
    Nov 16 at 13:43
















Another criteria to assess a game is the variance which could be regarded as a risk measure. The higher the variance the worse the game for a risk neutral or risk averse player.
– callculus
Nov 16 at 12:32






Another criteria to assess a game is the variance which could be regarded as a risk measure. The higher the variance the worse the game for a risk neutral or risk averse player.
– callculus
Nov 16 at 12:32














You might be interested in "expected utility": en.wikipedia.org/wiki/Expected_utility_hypothesis
– awkward
Nov 16 at 13:43




You might be interested in "expected utility": en.wikipedia.org/wiki/Expected_utility_hypothesis
– awkward
Nov 16 at 13:43










1 Answer
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For your first part:



The mathematical concept you are looking for is "most probable outcome". The most probable outcome is $-1$. Why would we need another term to describe the most probable outcome? The term we have is perfectly fine. It's descriptive, not too long, and very understandable.



For the second part:



The concept that favors the safe choice would be if you also look at the variance of the random variable. The random variable of playing the game has an expected value of $1$, and a variance of $$E(X^2)-E(X)^2 = frac{1}{1001}2001^2 + frac{1000}{1001}1^2 - 1^2 = 4000$$



which is... well, a lot. The "get $0.8$ for sure" game has a variance of $0$, so it's a much safer bet. Note, however, that if you are allowed to play the first game many many times, the variance decreases as the number of times you play increases.






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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

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    up vote
    1
    down vote



    accepted










    For your first part:



    The mathematical concept you are looking for is "most probable outcome". The most probable outcome is $-1$. Why would we need another term to describe the most probable outcome? The term we have is perfectly fine. It's descriptive, not too long, and very understandable.



    For the second part:



    The concept that favors the safe choice would be if you also look at the variance of the random variable. The random variable of playing the game has an expected value of $1$, and a variance of $$E(X^2)-E(X)^2 = frac{1}{1001}2001^2 + frac{1000}{1001}1^2 - 1^2 = 4000$$



    which is... well, a lot. The "get $0.8$ for sure" game has a variance of $0$, so it's a much safer bet. Note, however, that if you are allowed to play the first game many many times, the variance decreases as the number of times you play increases.






    share|cite|improve this answer

























      up vote
      1
      down vote



      accepted










      For your first part:



      The mathematical concept you are looking for is "most probable outcome". The most probable outcome is $-1$. Why would we need another term to describe the most probable outcome? The term we have is perfectly fine. It's descriptive, not too long, and very understandable.



      For the second part:



      The concept that favors the safe choice would be if you also look at the variance of the random variable. The random variable of playing the game has an expected value of $1$, and a variance of $$E(X^2)-E(X)^2 = frac{1}{1001}2001^2 + frac{1000}{1001}1^2 - 1^2 = 4000$$



      which is... well, a lot. The "get $0.8$ for sure" game has a variance of $0$, so it's a much safer bet. Note, however, that if you are allowed to play the first game many many times, the variance decreases as the number of times you play increases.






      share|cite|improve this answer























        up vote
        1
        down vote



        accepted







        up vote
        1
        down vote



        accepted






        For your first part:



        The mathematical concept you are looking for is "most probable outcome". The most probable outcome is $-1$. Why would we need another term to describe the most probable outcome? The term we have is perfectly fine. It's descriptive, not too long, and very understandable.



        For the second part:



        The concept that favors the safe choice would be if you also look at the variance of the random variable. The random variable of playing the game has an expected value of $1$, and a variance of $$E(X^2)-E(X)^2 = frac{1}{1001}2001^2 + frac{1000}{1001}1^2 - 1^2 = 4000$$



        which is... well, a lot. The "get $0.8$ for sure" game has a variance of $0$, so it's a much safer bet. Note, however, that if you are allowed to play the first game many many times, the variance decreases as the number of times you play increases.






        share|cite|improve this answer












        For your first part:



        The mathematical concept you are looking for is "most probable outcome". The most probable outcome is $-1$. Why would we need another term to describe the most probable outcome? The term we have is perfectly fine. It's descriptive, not too long, and very understandable.



        For the second part:



        The concept that favors the safe choice would be if you also look at the variance of the random variable. The random variable of playing the game has an expected value of $1$, and a variance of $$E(X^2)-E(X)^2 = frac{1}{1001}2001^2 + frac{1000}{1001}1^2 - 1^2 = 4000$$



        which is... well, a lot. The "get $0.8$ for sure" game has a variance of $0$, so it's a much safer bet. Note, however, that if you are allowed to play the first game many many times, the variance decreases as the number of times you play increases.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 16 at 12:27









        5xum

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