hw4 - Homework 4 On-campus students: Submit answers to all...

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Homework 4 On-campus students: Submit answers to all problems not labeled SS by the end of class on Friday, October 21st. Off-campus students: Submit answers to all problems not labeled SS by Friday, October 28th. J OINT D ENSITIES AND C ONDITIONAL D ENSITIES I NVOLVING M ULTIPLE R ANDOM V ARIABLES SS-1. X and Y are random variables with joint density function f XY ( x , y ) = ± ce - ( x 2 + y 2 ) / 2 , x 2 + y 2 1 0 , otherwise , where c is an appropriately chosen constant. (a) Find the value of c . Answer: c = ² 2 π ( 1 - e - 0 . 5 - 1 (b) Find the marginal density of Y . Answer: f Y ( y ) = ± ce - y 2 / 2 2 π h 1 - 2 Q ´ p 1 - y 2 µi , - 1 y < 1 0 , otherwise (c) Find the conditional density of X given Y . Answer: f X | Y ( x | y ) = e - ( x 2 + y 2 ) / 2 e - y 2 / 2 2 π h 1 - 2 Q ´ 1 - y 2 µi , - p 1 - y 2 x < p 1 - y 2 and - 1 y 1 0 , otherwise (d) Sketch the shape of the region where | XY | ≤ 3 / 4 0 . 433. Solve for the important points that define the region. 1. X and Y are random variables with joint density f XY ( x , y ) = ± 8 xy , 0 x y 1 0 , otherwise
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(a) Find the marginal density for Y . (b) Find the conditional density for X given Y (c) Are X and Y statistically independent? Justify your answer. (d) Find the joint distribution function of X and Y . 2. Write a MATLAB (or Octave) program to generate 100,000 random variables with the joint density given in problem 1. (Hint: I have not explicitly taught you how to generate random variables that are not independent! Use your knowledge of generating random variables and your knowledge of conditional probability, distribution functions, etc. to figure it out.) Plot a two-dimensional histogram (see MATLAB command hist3) of the generated values and compare with a surface plot of the joint density. As a reminder, you may discuss ideas about how to solve this problem with your classmates or myself, but you must do the coding yourself. SS-2. Let X , Y , and Z denote independent random variables. Find the following probabilities in terms of F X ( x ) , F Y ( y ) , and F Z ( z ) .
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This note was uploaded on 01/29/2012 for the course ECE 101 taught by Professor Wang during the Spring '11 term at Iowa State.

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hw4 - Homework 4 On-campus students: Submit answers to all...

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