MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Let Y be a Poisson random variable with mean λ = 2. (a) Find P(Y ≥ 2). (b) Find P(Y ≥ 4|Y ≥ 2).arrow_forwardConsider the pair of random variables ( X , Y ) with joint PDF f X , Y ( x , y ) = 2 for 0 ≤ x ≤ y ≤ 1 and f X , Y ( x , y ) = 0 otherwise. (In particular, note that the joint PDF is only nonzero when x ≤ y .) (a) Draw a picture of the range of ( X , Y ) in the x y -plane. (b) Describe the conditional distribution of X given Y = y , for 0 ≤ y ≤ 1 . (c) What is the marginal PDF f X of X ? (d) Are X and Y independent?arrow_forwardb) calculate var(x) Give your answer to four decimal places.arrow_forward
- Let X be uniformly distributed over the interval (-1, 1) and Y be a Bernoulli random variable with parameter p = 0.5. Assume that X and Y are independent of each other. (a) (b) Find and plot the PDF of Z = |X|. Carefully label your plot. Find and plot the PDF of S = X + Y. Carefully label your plot.arrow_forwardNumber A...b..arrow_forward
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