2. Suppose an exam consists of an oral(R) and a written(W) component and R and W are correlated. Assume that E(R) = µr and V ar(R) = of , E(W) = Hw and Var (W) = ow. Let us assume that the total score T=0.5R+0.5W. | (a) Find an expression for E(T) in terms of µr and Hw. (b) Prove that Var (T) = 0.250ž + 0.25ow + 0.5Cov(R, W) . Where Cov(R, W) is the Covariance between R and W.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
ChapterA: Appendix
SectionA.2: Geometric Constructions
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Not really sure how to go about answering this. The only things we have covered in class are when E(x)= μ but I can't really see how this would fit in here.

 

Thank you.

2. Suppose an exam consists of an oral(R) and a written(W) component and R and W are
correlated. Assume that E(R) = µR and Var(R) = oR , E(W) = µw and Var (W) = ow.
Let us assume that the total score T=0.5R+0.5W.
|
(a) Find an expression for E(T) in terms of µR
(b) Prove that Var (T) = 0.250% + 0.25ow + 0.5Cov(R, W).
and
Mw.
Where Cov(R,W) is the Covariance between R and W.
Transcribed Image Text:2. Suppose an exam consists of an oral(R) and a written(W) component and R and W are correlated. Assume that E(R) = µR and Var(R) = oR , E(W) = µw and Var (W) = ow. Let us assume that the total score T=0.5R+0.5W. | (a) Find an expression for E(T) in terms of µR (b) Prove that Var (T) = 0.250% + 0.25ow + 0.5Cov(R, W). and Mw. Where Cov(R,W) is the Covariance between R and W.
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