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(Solved): Again continuing, let the joint probability density function of \( (X, Y) \) be \[ f_{X, Y}(x, y)= ...


Again continuing, let the joint probability density function of \( (X, Y) \) be \[ f_{X, Y}(x, y)=\left\{\begin{array}{ll} C

Again continuing, let the joint probability density function of \( (X, Y) \) be \[ f_{X, Y}(x, y)=\left\{\begin{array}{ll} C x^{2}(y-x), & \text { for } 0


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Frist we obtain marginal pdf of x and y, So, fx(x)=????f(x,y)dy=Cx2?x1(y?x)dy=Cx2[y22?xy]x1=Cx2[12?x22?x+x2]
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