HW8 - p for a xed n . How many samples m do you need to see...

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1 Assignment 8 EEE 350, Fall 2011 Problem numbers below correspond to the textbook by Yates and Goodman, 2nd Ed. Assignment Due Date: Thursday Oct 27th, 2011. Due in class. 1) Problem 3.6.1, Problem 3.6.2 (1 + 1 = 2 points) 2) Problem 3.6.3 (2 points) 3) Problem 3.6.4, Problem 3.6.5 (1 + 1 = 2 points) 4) Problem 3.6.8 (2 points) 5) Problem 3.7.1 (2 points) 6) Problem 3.7.3 (2 points) 7) Problem 3.7.4 (2 points) 8) Problem 3.7.5 (2 points) 9) Problem 3.7.7 (2 points) 10) Problem 3.7.11 (2 points) 11) Problem 3.8.2 (2 points) 12) Problem 3.8.4 (2 points) 13) Problem 3.8.7 (2 points) 14) Using the codes uploaded with the HW5 solutions, redo problem 15 of HW 5. Comment on your observations about the shape of the pdf etc as you vary
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Unformatted text preview: p for a xed n . How many samples m do you need to see all possible values of the random variable ? How is this related to p ? (2 points) 15) Learn to generate random samples from a Gaussian random variable using Matlabs randn function. This function generates Gaussian random samples with mean and standard deviation 1 . First generate 10 , 000 samples from this function with mean and standard deviation 1 . Plot a histogram of the values. How would you generate Gaussian random samples of arbitrary mean and standard deviation using this function ? Generate a couple of such histograms showing different means and standard deviations. (2 points)...
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This note was uploaded on 02/11/2012 for the course EEE 352 taught by Professor Ferry during the Spring '08 term at ASU.

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