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A problem set for the university of illinois ece 313 course, fall 2008. It includes five problems dealing with continuous probability distributions, such as finding probabilities and expected values. Students are required to read chapters 4 and 5 of ross for context. The set is due on october 29, 2008.
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University of Illinois Fall 2008
Due: Wednesday, October 29, at 4 p.m.
Reading: Ross, Chapters 4 and 5.
Non-credit exercises: Ross, Chapter 5, Problems 24,25,30, and 35.
This Problem Set contains five problems
compute the probability that the absolute value of the random variable exceeds 0.5.
(a) F (u) =
0 u < 0 ,
u
2 , 0 ≤ u < 1 ,
1 , u ≥ 1.
(b) F (u) =
0 u < 1 ,
2 u − u
2 , 1 ≤ u ≤ 2 ,
1 , u > 2.
(c) F (u) =
1
2
exp(2u) u ≤ 0 ,
1
4
exp(− 3 u), u > 0 ,
(d) F (u) =
1
2
exp(2u) u < 0 ,
1
4
exp(− 3 u), u ≥ 0 ,
with CDF
X
(u) =
0 , u < 0 ,
(1 + u)/ 8 , 0 ≤ u < 1 ,
1 / 2 , 1 ≤ u < 2 ,
(4 + u)/ 8 , 2 ≤ u < 4 ,
1 , u ≥ 4.
Note that this is a mixed random variable: it takes on some values with nonzero probability
(like a discrete random variable) but also takes on all values in intervals of the real line (like
a continuous random variable).
(a) Find P {X = 2}, P {X < 2 }, P {X > 2 }, P { 1 ≤ X ≤ 3 }, and P {X > 2 | X > 0 }.
(b) Find E[X ].
interval specified. In each case,
valid pdf.
(a) f (u) = 2u, 0 < u < 1. (b) f (u) = |u|, |u| <
1
2
(c) f (u) = 1 − |u|, |u| < 1 , (d) f (u) = ln u, 0 < u < 1. Hint: ln u can be integrated by parts.
(e) f (u) = ln u, 0 < u < 2 , (f) f (u) =
2
3
(u − 1), 0 < u < 3 ,
(g) f (u) = exp(− 2 u), u > 0. (h) f (u) = 4 exp(− 2 u) − exp(−u), u > 0 ,
(i) f (u) = exp(−|u|), |u| < 1 ,