2. Let X and Y be two independent exponential random variables with parameters both equal to3.(a) Find f(x, y), the joint probability density function of X and Y.(b) Let A = {(x, y) = R² : x > 4 and y > 5}. Find P(A).(c) Let B = {(x, y) = R² : x + y ≤ 2}. Find P(B).

Answered: 2. Let X and Y be two independent…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Suppose you have two independent random variables X ~ Y ~ Exponential(A2), A1 > 0, d2 > 0. Find: Exponential(A1) and (a) The joint density function for (X,Y). (b) P( > 1). (c) P(X +Y > 1).
8)Let X1, X2, ..., Xn be a sample of n units from a population with a probability density function f (x I θ)=θxθ-1 , 0<x<1, θ>0 . According to this: Find the joint probability density function of the order statistics X(2), X(4), X(6) for n = 7.
X and Y are independent, X ~ U (0, 1) and Y U (0, 1). Calculate the probability P(X+Y<1.5).
Explain A, B, C
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.]
(d) Let X, Y be independent Poisson random variables with X~ Poisson(1.5), Y~ Poisson (0.5). Compute the probability P(X + Y ≤ 2). Express your answer up to 3rd decimal place. (You shall use calculator to complete this problem.) Suppose two random variables X, Y admits density f(x, y) = 9 -x-3y 7(2x+y)e¯ " x, y ≥ 0, and f(x, y) = 0 for other (x, y). Compute the covariance of X, Y. Use the result to decide which of the following holds: Var[X + Y] .
b) Let Y1, Y2.,Y5 be independent random variables with probability density function y 1 e 4 4 f(y)= ,y > 0 ,elsewhere 3 Determine the distribution and parameter of V = EY; using the method of moment i=1 generating function. Hence, find the mean of V using the moment generating function.
Use a Venn diagram. Let P(Z) = 0.44, P(Y) = 0.28, and P(Z U Y) = 0.57. Find each probability. (a) P (Z'n Y') (b) P(Z'U Y) (c) P (Z' U Y) (d) P (Zn Y')
1. Let X be a random number from (0, 1). Find the probability density function of Y = 1/X.

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2. Let X and Y be two independent exponential random variables with parameters both equal to 3. (a) Find f(x, y), the joint probability density function of X and Y. (b) Let A = {(x, y) = R² : x > 4 and y> 5}. Find P(A). (c) Let B = {(x, y) = R² : x + y ≤ 2}. Find P(B).