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Unformatted text preview: parameter p . Given X = x , the conditional probability mass function of Y , p k  X = x = P ( Y = k  X = x ), is a Poisson random variable with = x . 1. Find the sample space of ( X,Y ). 2. What is the joint probability mass function of X and Y ? 3. What is the marginal probability mass function of X ? 4. What is the probability that P ( X 2 + Y 2 4). Question 9: [Basic] Problem 5.25(b,c). Question 10: [Basic] Problem 5.27(a,c,d). Question 11: [Basic] Problem 5.28. Question 12: [Intermediate/Exam Level] Suppose X is a uniform random variable with parameters a = 1 ,b = 2. Given X = x , the conditional probability density function of Y , is an exponential random variable with = x . 1. Find the sample space of ( X,Y ). 2. What is the joint probability density function of X and Y ? 3. What is the probability that P ( X < 1 . 5 and Y 2)?...
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This note was uploaded on 02/12/2012 for the course ECE 302 taught by Professor Gelfand during the Spring '08 term at Purdue UniversityWest Lafayette.
 Spring '08
 GELFAND

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