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- Suppose that X and Y are independent and uniformly distributed random variables. Range for X is (−1, 1) and for Y is (0, 1). Define a new random variable U = XY, then find the probability density function of this new random variable.Exercise 20. Let X1 and X2 be iid U(0,1) random variables. Find the joint probability density function of Y1 = X1+ X2 and Y2 = X2 – X1.The life lengths of two transistors in an electronic circuit is a random vector (X; Y) where X is the life length of transistor 1 and Y is the life length of transistor 2. The joint probability density function of (X; Y) is given by x 2 0, y 2 0 fx.,fx.v) = 20 else Then the probability that the first transistor burned during half hour given that the second one lasts at least half hour equals Select one: a. 0.606 b. 0.3935 C. 0.6318 d. 0.3669 e. 0.7772
- Suppose X and Y are random variables with joint density function.Suppose that two continuous random variables X and Y have joint probability density function fxy = 1sxs2,0sy<3 elsewhere Find the strength of the relationship and interpret the findings.Suppose (X; Y ) is a continuous random vector with joint probability density function Sv Osxs2,0sys1 o else Then P(X < 1, Y < 0.5) equals fx,ylx,v) =; Select one: а. 1 b. 0.0625 c. 0.078 d. 0.14 e. 0.125
- An experiment consists of randomly drawing 3 cards from a standard deck (without replacement). The random variable Z is defined to be 2 times the number of face cards drawn which are not aces (jacks, queens, or kings). Find the density function of Z.Let Xand Y be two continuous random variables with joint probability density [3x function given by: f(x.y)%D 0sysxsl elsewhere with E(X) = ECX)- EC) - EC*)= ;and E(XY) = 10 3 E(Y*) = - and E(XY) =; %3D Then the value of the variance of 2X+Y is: O 3/80 O 91/320 43/320 7/20Let Y and Y, be two independent exponential random variables, both with mean B > 0. Find the density function of Y +Y2.