Conditional pdf If X, and X, are discrete or continuous random variables with joint pdf f(x1, x2), then the conditional probability density function (conditional pdf) of X2 given X₁ = x, is defined to be f(x1, x2) f(x₂|x₁)= f₁(x₁) for values x, such that f(x,) > 0, and zero otherwise. Question: Suppose that X and Y have joint pdf [8xy 0 < y < x <1 f(x,y) = otherwise a. b. C. d. e. Find the joint CDF. Findƒ(y|x). Findƒ(xly). Find P(X ≤ 0.5 | Y= 0.65). Find P(X ≤ 0.5 | Y≤ 0.65). (4.5.1)