# Question: Let X be a standard normal random variable i e

Let X be a standard normal random variable (i. e., X ~ N ( 0,1)). Find the PDF of Y= |X|.

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Let X be a standard normal random variable (i. e., X ~ N ( 0,1)). Find the PDF of Y= |X|. If the transformation is A Gaussian random variable with zero mean and variance σ2X is applied to a device that has only two possible outputs, 0 or 1. The output 0 occurs when the input is negative, and the output 1 occurs when the input is ...A pair of random variables, (X, Y), is equally likely to fall anywhere within the region defined by |X| + |Y| ≤ 1. (a) Write the form of the joint PDF, fX,Y (x,y). (b) Find the marginal PDFs, fX (x) and fY (y). (c) Find ...A colleague of your proposes that a certain pair of random variables be modeled with a joint CDF of the form Fx, y (x,y) = [1 – ae–x – be–y +ce–(x+y)] u (x) u (y). (a) Find any restrictions on the constants a, b, ...For the discrete random variables whose joint PMF is described by the table in Exercise 5.14, compute the following quantities: (a) E [XY]; (b) Cov (X, Y); (c) ρ X,Y; (d) E [Y| X].Post your question