Basic Expected Value Problem (probability)

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The discussion revolves around calculating the expected value of the function E[4 + 4X + X^2] given E[X] = 2 and Var(X) = 3. Participants clarify the distinction between E(X^2) and E(X)^2, emphasizing that E(X^2) can be derived using the variance formula: Var(X) = E(X^2) - E(X)^2. By substituting the known values, they determine E(X^2) to be 7. Finally, they confirm that the expected value of the function can be computed using the linearity of expectation, leading to the conclusion that E[4 + 4X + X^2] can be evaluated with the derived values.
shawn87411
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E[X]=2
Var(X)=3
Find E[4+4x+x^2]

I'm just confused what its asking. The expected value of this function is 2 so the average of it is 2 and the variance is how much it varies which is 3? Every example I have for expected values is related to an example such as cards, not just a polynomial
 
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Var(X)=E(X^2-E(X)^2). Just solve that for E(X^2). Then you can find E of the quadratic.
 
Dick said:
Var(X)=E(X^2-E(X)^2). Just solve that for E(X^2). Then you can find E of the quadratic.

Is the E(X^2-E(X)^2) = E(2^2-(4+4x+X^2)^2)?
 
No... Var(X)=3=E(X^2)-E(X)^2. E(X)=2. What's E(X^2)?? E(4+4X+X^2)=E(4)+E(4X)+E(X^2). Right? Etc. Use the linearity properties of 'E'.
 
Last edited:
Dick said:
No... Var(X)=3=E(X^2)-E(X)^2. E(X)=2. What's E(X^2)?? E(4+4X+X^2)=E(4)+E(4X)+E(X^2). Right? Etc.

I think I'm mixing up the terms E(X^2) and e(X)^2. Which one is E[X]=2?

So E(X^2)=E(4)^2+E(4x)^2+(x^2)^2?
 
E(X)^2=4, since E(X)=2.
 
Dick said:
E(X)^2=4, since E(X)=2.

Right but what's the difference between E(X^2) and E(X)^2?

Is E(X^2)=E(4^2)+E(4x^2)+E((x^2)^2) with x=2?
 
No! E(X^2) is not the same as E(X)^2. They aren't directly related to each other. The only way you can find E(X^2) from the information you are given is to use Var(X)=3.
 
Var(X)+E(X)^2=E(X^2)
3+4=7=E(x^2)

Then use the fact that E(4+4X+X^2)=E(4)+E(4X)+E(X^2).
 
  • #10
shawn87411 said:
Var(X)+E(X)^2=E(X^2)
3+4=7=E(x^2)

Then use the fact that E(4+4X+X^2)=E(4)+E(4X)+E(X^2).

Yes, that's it.
 

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