Math  /  Data & Statistics

QuestionProblem 33 Let XX and YY be two random variables. Suppose that σX2=4\sigma_{X}^{2}=4, and σY2=9\sigma_{Y}^{2}=9. If we know that the two random variables Z=2XYZ=2 X-Y and W=X+YW=X+Y are independent, find Cov(X,Y)\operatorname{Cov}(X, Y) and ρ(X,Y)\rho(X, Y).

Studdy Solution
Calculate ρ(X,Y)\rho(X, Y) using Cov(X,Y)\operatorname{Cov}(X, Y):
ρ(X,Y)=Cov(X,Y)σXσY\rho(X, Y) = \frac{\operatorname{Cov}(X, Y)}{\sigma_X \sigma_Y}
=14×9= \frac{1}{\sqrt{4} \times \sqrt{9}}
=12×3= \frac{1}{2 \times 3}
=16= \frac{1}{6}
The covariance and correlation coefficient are:
Cov(X,Y)=1\operatorname{Cov}(X, Y) = 1
ρ(X,Y)=16\rho(X, Y) = \frac{1}{6}

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