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Solutions to problem 1-4 of homework 7 for the university of illinois at chicago ece 341 course on probability and random processes for engineers. The problems involve calculating mean, variance, and probability density functions for uniformly distributed and gaussian random variables.
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2003 University of Illinois at Chicago ECE 341 V. Goncharoff
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ECE 341 - Probability and Random Processes for Engineers
Homework #7 (write answers here, show work on paper stapled to this cover sheet)
Problem 1.
Continuous random variable X is uniformly distributed between −5 and +10.
a) What is μ (^) X?
b) What is [ ]
2 E X?
c) What is σ (^) X?
d) What is P [ 0 ≤ X ≤ 2 ]?
Problem 2.
Continuous random variable X is Gaussian with zero mean value and σ (^) X = 2.
a) What is [ ]
2 E X?
b) What is P [ X > 2 ]?
c) What is P [ 0 ≤ X ≤ 2 ]?
2003 University of Illinois at Chicago ECE 341 V. Goncharoff
Problem 3.
Zero-mean Gaussian random variable N is known to be in the range −1 to +
volts with 60% probability.
a) What is Var[ N ]?
b) What is the probability that N > 2?
Problem 4.
The random variable X has probability density function
0 , otherwise.
x x f (^) X x
a) Write an algebraic expression for the CDF F (^) X ( x ):
b) What is [ 4 ] 3 4
1 P < X ≤?
c) What is [ ] 2
1 8