The Expectation of X and the Expectation of X squared (discrete math)

SammC
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Homework Statement


prove or disprove that E[X^2] = E(X)^2

Homework Equations


E[X] = \sumxi*pr(xi)


The Attempt at a Solution



I really don't know where to start, I believe that it is not true, so I should try to disprove it, and the easiest way to do that would be by counterexample... I don't understand expectation very well though, I could try to do a mathematical proof to show that they are not equal, but I don't know how to go about that either.
 
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hi sammC - this is ripe for a counter example...

easiest would be to try a distribution with only 2 outcomes, ie 50% probability of each occurring, then calculate E[x] and E[X^2]

note E[X^2] = sum over i of pr(xi)*(xi^2)
 
ah, this helps a bunch, thanks!
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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