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The mean of a sum of variables.

  1. Nov 4, 2011 #1
    How do I prove that the mean of a random variable Z which is the sum of to other random variables X and Y is the sum of the mean of X with the mean of Y?
     
  2. jcsd
  3. Nov 4, 2011 #2

    mathman

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    Essentially the theorem is equivalent to the theorem that the integral of a sum is the sum of the integrals.
     
  4. Nov 4, 2011 #3
    well I obviously know that the integral of the sum is the sum of the integral but I don't know how I can relate that to the situation a mentioned, can you please be more specific?
    I'm trying to prove it and I'm getting a convultion integral so far...
    thank you.
     
  5. Nov 4, 2011 #4
    Yes that'll eventually give you a proof for the special case where the rv's are independent and have densities (involves reversing the order of integration and a change of variables).

    Another approach that would work for the non-independent case is to consider separately the joint distribution and marginal distributions of X and Y.
     
  6. Nov 5, 2011 #5
    well but I'm not being able to prove it either for dependent or independent variables, can you please show me the proof or tell me where I can find it? thank you
     
  7. Nov 5, 2011 #6

    mathman

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    Two random variables.
    E(X+Y)=∫∫(x+y)dF(x,y)=∫∫xdF(x,y) + ∫∫ydF(x,y).
    Integrate with respect to y in the first integral and integrate with respect to x in the second integral. You will be left with E(X) + E(Y).

    In the above F(x,y) is the joint distribution function.
     
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