4.144 Consider a random variable Y with density function given by f(y)=ke-²/2 a Find k. b Find the moment-generating function of Y. c Find E(Y) and V (Y). -∞
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- A random variable x has a density function f(x) = с (х+1) where 03) The joint probability density function 3 f(x,y) — х 0If there is a random variable X with a Laplacian distribution of fx(x) =exp(-vZ]xl) And the probability density function of random variable Y is f, (y) 1 y 2 Find the derivation of the theoretical p.d.f. of z, f ,(z). Z = X + Y5. A continuous random variable X that can assume value between x-2 and x-5 has a density function given by 1+x f(x) = 8 a. Show that P(2A random process {X(t)} is given by X(t) = A cos pt + B sin pt, where A and B are independent RVs such that E(A) = E(B) = 0 and E(A²) = E(B²) = o². Find the power spectral density of the process I %3D(11) When the conditional density of X given Y = y E (0, 1) is 2x fx\Y=y (x) = y < x < 1. 1 – y² ’ Compute E(X|Y = 0.25). 0.7 0.25 0.75 None of the above N/A (Select One)3.1 Solve the below problem: (9) Let Y, and Y2 have a joint density function given by 0 < y2 < y1 S 1 elsewhere. (3y1 f(v,,y2) = {" 3.1.3. Let Y, and Y2 denote random variables. Use the formula E(Y,) = E[E(Y,|Y2)] to find E (Y,). 3.1.4. Use the marginal density function of Y, to find E(Y2) to verify the answer in (3.1.3.).2. A particle of mass, m, has the wavefunction given by: (x, t) = Ce-a[(mx²/h) + it] . (a) Sketch Re [(x,0)] as a function of x. (b) Sketch Re [p(0, t)] as a function of t. (c) Sketch the probability density for finding the particle at x at t = 0. (d) Explain the time dependence in the probability density for locating the particle in space. (e) Find C (f) Find (x) (g) Find (x2) (h) Find ox (i) Find (p) (j) Find (p?) (k) Find op (1) Is the product, O,0, consistent with the Heisenberg uncertainty principle? (m) Find TtEx. 4. Let X,Y are independent random variables where X ~ N(0, 1) and Y ~ G(1/2, n/2). Let T:= X//Y/n, then show that the density function of T is described as r(n+1)/2) (1+) VnnI'(n/2) -(n+1)/2 fr(t) - (-∞Recommended textbooks for youA First Course in Probability (10th Edition)ProbabilityISBN:9780134753119Author:Sheldon RossPublisher:PEARSONA First Course in Probability (10th Edition)ProbabilityISBN:9780134753119Author:Sheldon RossPublisher:PEARSON