If the joint probability density of X and Y given by
$$ f(x,y) = \begin{cases} 1/4(2x+y), & 0<x<1, 0<y<1\\ 0, & \text{elsewhere} \end{cases} $$
Can I get some hints on how to find the Cov(x,y)?
If the joint probability density of X and Y given by
$$ f(x,y) = \begin{cases} 1/4(2x+y), & 0<x<1, 0<y<1\\ 0, & \text{elsewhere} \end{cases} $$
Can I get some hints on how to find the Cov(x,y)?
On
Maybe we could just consider the question through the relationship between marginal distribution and joint distribution.
The marginal probability density of y is $f_Y(y)=\int_0^1f(x,y)dx$=1/4(1+y),
so $E(Y)=\int_0^1yf_Y(y)dy=5/24$
then just calculate $E(X)$ and $E(XY)=\int_0^1\int_0^1xyf(x,y)dydx$.
Outline: We want to calculate $E(XY)-E(X)E(Y)$. The three expectations can each be found by evaluating the appropriate double integral.