Total marks 14 4. Let X and Y be random variables on a probability space (N, F, P) that take values in [0, ∞). Assume that the joint density function of X and Y on [0, ∞) × [0, ∞) is given by f(x, y) = 2e-2x-y Find the probability P(0 ≤ X ≤ 1,0 ≤ y ≤ 2). (ii) spectively. [6 Marks] Find the the probability density function of X and Y, re- [5 Marks] 111) Are the X and Y independent? Justify your answer! [3 Marks]
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- let x be a continuous random Variable with probability density fimction 0Let X be a uniformly distributed continuous random variable that can take values in the interval (-1,1). Y Let Y=1-X2 be defined as a function of the random variable X. a) Mathematically find the probability density function (PDF) of Y. b) Find mathematically the covariance, Cov[X,Y], of X and Y. X and Y are uncorrelated (uncorrelated)? Are X and Y independent? c) With the help of the "rand" command in MATLAB, the random variable X is randomized into 1,000,000 random variables. and the corresponding Y=1-X2 values. Plot the histogram of Y. The histogram you found in (a) Does it match the PDF? Comment. d) Estimate Cov[X,Y] using the 1,000,000 X and Y values you generated in MATLAB obtain For this, from the definition Cov[X,Y] = E[(X-E[X])(Y-E[Y])] and the "mean" command Does it match the value you found in (b)? Comment.let x be a continuous random variable with probability density function Find Sb – 2x, 0Let X be a random variable with a uniform distribution on the interval (0,1). Given Y = e*, derive a) b) the probability distribution function of Y = ex. the probability density function of Y.8. Let f be function given by f(x, y, z,u) =(x+2y+3z+4u), 0Determine k so thatf(x, y) = kx(x − y) for 0 < x < 1, −x < y < x0 elsewherecan serve as a joint probability density.Let continous random variable x taking on values over the set [0,a] and has a probability density function fx(x) = C exp(-nx), x = [0,a] where a = 1.1, n = 2.3. Find CThis is not a complex question.Let X and Y be continuous random variables with joint distribution function, F (x,y). Let g (X,Y) and h (X,Y) be functions of X and Y. PROVE Cov (X,Y) = E[XY] - E[X] E[Y]Let X and Y be independent uniform random variables on (0, 1). Find their joint density function f (x, y). Use the joint density function to calculate the probability P(X < Y).9- Let X1, X2,.. ,Xn be i.id observations on the interval U(0,0 + 1). a- Find the joint probability density function of (X(1), X(n).7. Let X and Y denote two continuous random variables. Let f(x,y) denote the joint probability density function and fx(x) and fy (y) the marginal probability density functions for X and Y, respectively. Finally let Z = aX + bY, where a and b are non-zero real numbers. (e) Derive an expression for Cov(Z) as a function of Var (X), Var(Y) and Cov(X,Y). [You may use standard results relating to variance and covariance without proof, but these should be clearly stated.]SEE MORE QUESTIONSRecommended textbooks for youAlgebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:CengageAlgebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage