#finding expected value using integration
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Can someone explain the solution to part c
I don't get how to solve it by integration
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That’s the standard for finding expectation of continuous RVs
Then just applying linearity of expectation for this specific question
The only thing I know is the E(X)=∫xf(x)
Can you please tell me how to get to the answer step by step
What's that
Splitting up the expectation
Into 2E(H^2) + 3E(G) + 3
First term was worked out from using the data given on variance and the second term is the one calculated by integrating
Oh we can do that?
I thought we could only do something like E(3x)=3E(x)
Thank you so much
Yeah but also E(X+Y) = E(X) + E(Y) so you can split up expressions
That’s linearity
Just be aware E(XY) doesn’t equal E(X)E(Y) unless X and Y are independent
Which is why the E(H^2) part can’t be reduced to simply E(H)^2
Got it👍