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Problem set 11 from the electrical and computer engineering (ece) 313 course at the university of illinois, spring 2008. The problem set focuses on various aspects of random variables and probability distributions, including joint probability mass functions, marginal distributions, independence, conditional distributions, and expectations. Students are expected to solve six problems using concepts from chapters 5 and 6 of ross's textbook. The document also includes information about due dates, reading materials, and exam schedules.
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University of Illinois Spring 2008
This Problem Set contains six problems
Due: Wednesday April 16 at the beginning of class. Reading: Ross Chapter 6 Noncredit Exercises: Chapter 6: Problems 1, 9-15, 20- Reminder: Hour Exam II on Monday April 14, 7:00 p.m. – 8:00 p.m Room 165 Everitt Laboratory
u → v ↓ 0 1 3 5 4 0 1/12 1/6 1/ 3 1/6 1/12 0 1/ -1 1/12 1/6 1/12 0
(a) Find the marginal pmfs pX (u) and pY (v). (b) Are X and Y independent random variables? (c) Find P {X ≤ Y} and P {X + Y ≤ 4 }. (d) Find pX |Y (u|3), E[X |Y = 3] and var(X |Y = 3).
(a) Show that the unconditional pmf of Y is Poisson with parameter (λp)T. (b) Explain briefly why the unconditional pmf of Z = X − Y is Poisson with pa- rameter (λq)T. Note that Z = NB (0, T ] counts the number of packets that are addressed to Server B. The packet streams routed to the two servers are in fact Poisson processes with arrival rates λp and λq respectively. The division of a Poisson stream into two Poisson substreams is called Poisson splitting. Poisson splitting also occurs if the packets are jobs and it is the router that chooses to randomly allot the jobs to Server A or B with probabilities p and q. However, Poisson splitting does not occur if the incoming jobs are simply routed alternately to Servers A and B: the probability that Server A receives k jobs in (0, T ] is P {X = 2k − 1 } + P {X = 2k} which does not match up with a Poisson probability mass function.
(c) What is the conditional pmf pX |Y (n|m) of X given that Y was observed to have value m? (d) What is E[X |Y = m], the conditional expectation of X given that Y was observed to have value m?
fX ,Y (u, v) =
(a) Find the marginal pdf of X. (b) Find P {X + Y ≤ 3 / 2 } and P {X 2 + Y^2 ≥ 1 }.
fX ,Y (u, v) =
2 exp(−u − v), 0 < u < v < ∞, 0 , elsewhere.
(a) Sketch the u-v plane and indicate on it the region over which fX ,Y (u, v) is nonzero. (b) Find the marginal pdfs of X and Y. (c) Are the random variables X and Y independent? (d) Find P {Y > 3 X }. (e) For α > 0, find P {X + Y ≤ α}. (f) Use the result in part (e) to determine the pdf of the random variable Z = X +Y.
(a) Find the probability that the length L of the random chord is greater than the side of the equilateral triangle inscribed in the circle. (b) Express L as a function of the random variable (X , Y) and find the probability density function for L. (c) Find the average length of the chord, i.e. find E[L].