(c) Calculate the V(Y|X = 2), V(Y|X = 4), V(Y|X = 6).(d) Calculate the corr(X,Y).(e) Plot the probability mass function given in the Table above in X, Y space (using thesize of the cross to reflect probability weightings), justifying the sign of the answer in(d). 1. There are two random variable X and Y which have a joint probability density (mass)function as below:X24600.20.050.0Y10.10.20.120.00.10.25(a) Calculate E(X) and E(Y).(b) Calculate the E(Y|X = 2), E(Y|X = 4), E(Y|X = 6).

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Answered: There are two random variable X and Y…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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For a certain psychiatric clinic suppose that the random variable X represents the total time (in minutes) that a typical patient spends in this clinic during a typical visit (where this total time is the sum of the waiting time and the treatment time), and that the random variable Y represents the waiting time (in minutes) that a typical patient spends in the waiting room before starting treatment with a psychiatrist. Further, suppose that X and Y can be assumed to follow the bivariate density function fXY(x,y)=λ2e−λx, 0<y<x, where λ > 0 is a known parameter value. (a) Find the marginal density fX(x) for the total amount of time spent at the clinic. (b) Find the conditional density for waiting time, given the total time. (c) Find P (Y > 20 | X = x), the probability a patient waits more than 20 minutes if their total clinic visit is x minutes. (Hint: you will need to consider two cases, if x < 20 and if x ≥ 20.)
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Suppose that two continuous random variables X and Y have joint probability density function fxy = A( ex+y + e2x+y) , 1 ≤ x ≤ 2 ,0≤ y≤3 0 elsewhere a. P ( 3/2 ≤ X ≤ 2, 1 ≤ Y ≤ 2) b. Are the random variables X and Y independent? c. find the conditional density X given Y = 0

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There are two random variable X and Y which have a joint probability density (mass) function as below: X 2 4 6 0 0.2 0.05 0.0 Y 1 0.1 0.2 0.1 2 0.0 0.1 0.25 (a) Calculate E(X) and E(Y). (b) Calculate the E(Y|X = 2), E(Y|X = 4), E(Y|X = 6).