Proof of expected value expression

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SUMMARY

The expected value of a non-negative discrete random variable X can be expressed as E[X] = (sum: i from 1 to infinity) P(X>=i). This is derived by recognizing that P(X>=i) can be rewritten as P(X=i) summed over all j from i to infinity. By interchanging the order of summation, the expression simplifies to E[X], confirming the relationship between the expected value and the cumulative probabilities of the random variable.

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grimster
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The usual expression of the expected value of X is:
E[X] = (sum) x*p(x)

i'm supposed to show that, for X a random non-negative discrete random(stochastic) variable, we have that:
E[X]=(sum: i from 1 to infinity) P(X>=i)

i have absolutely no idea how to do this. does anyone want to push me in the right direction?
 
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P(X>=i)=sum(j=i,inf) P(X=j). Plug this into your sum over i, interchange i and j and you will get what you want, since the sum over i will simply be j.
 

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