(New page: Some hints for this problem: if E[X] = 0, then Var(X) = E[X^2] Cov(X,Y) = E[XY] - E[X}*E[Y] correlation coeff = Cov(X,Y) / sqrt(Var(X))*sqrt(Var(Y)) X & Y independent: E[XY] = E[X}*E[Y]...) |
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try to express your answers in terms of given constants rho, sigma_x, sigma_y | try to express your answers in terms of given constants rho, sigma_x, sigma_y | ||
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Revision as of 13:18, 9 December 2008
Some hints for this problem: if E[X] = 0, then Var(X) = E[X^2]
Cov(X,Y) = E[XY] - E[X}*E[Y]
correlation coeff = Cov(X,Y) / sqrt(Var(X))*sqrt(Var(Y))
X & Y independent: E[XY] = E[X}*E[Y] ie Cov(X,Y)=0
try to express your answers in terms of given constants rho, sigma_x, sigma_y
fuck you
