Problem #2: Suppose that the random variables X and Y have the following joint probability density function. f(x, y) = ce 6x-10y, 0
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- 2. If the random variable X has the probability density function f(x) = (1-x²), -1 < x < 1, 3 4 what is the variance of 15X + 2?If the joint probability distribution of X and Y is given by x+y f (x, y) =, for x = 0,1,2,3; y = 0,1,2. Find the marginal distribution of Y %3D %3D 30 f(x, y) 1 2 3 1 2 3 30 2 30 30 3 4 Y 30 30 30 30 3 2 30 30 30 30 4.3) Find the mean and variance of the random variable X with probability function or density f(x). (a)f(x)={k(1-x), –15xs1 O otherwise (b) ƒ(x) = k/3× , x = 1,2,3,... Note: in this problem, you need to first find the values of k.
- C1. Let X be a continuous random variable with PDF f(x) = (2-x) ² for -1 1)? (c) Calculate the expectation of X. (d) Calculate the variance of X.The joint PDF of the random variables X and Y is defined as f(x, y) = 25e³"; 0 0 = 0, otherwise %3D (i) (ii) Find the marginal PDFS and X and Y What is the covariance of X and Y?The p.d.f. of a random variable X' is as shown in the figure. The pdf is zero for X 5. Calculate (i) the maximum value of p.d.f. (ii) expectation of X, E(X) (iii) variance of X. fx (x) k
- C1. Let X be a continuous random variable with PDF f(x) = (2-x) for -1 ≤ x ≤ c and f(x) = 0 otherwise. (a) Explaining your work, find the value of the constant c. (b) What is P(X > 1)? (c) Calculate the expectation of X. (d) Calculate the variance of X.(1) Let X b(16,- 5,-) find E(4- 3x) and distribution function.