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3.4.3 The random variable X has CDF 0. x <-3, 0.4 -3

3.4.3 The random variable X has CDF 0. x <-3, 0.4 -3

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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-s/vishe/OneDrive/Desktop/ECE%20341%20BOOK.pdf 127 / 513 96 0.2 -1 <r <0, Fx (r) = 0.7 0 <1, x21. (a) Draw a graph of the CDF. (b) Write Px(x), the PMF of X. Be sure to write the value of Px(x) for all r from -∞ to ∞. 3.4.3 The random variable X has CDF x < -3, -3 <x < 5, 0.4 Fx (x) = 0.8 5 <x<7, x 27. 3 ms Send a chat
Transcribed Image Text:-s/vishe/OneDrive/Desktop/ECE%20341%20BOOK.pdf 127 / 513 96 0.2 -1 <r <0, Fx (r) = 0.7 0 <1, x21. (a) Draw a graph of the CDF. (b) Write Px(x), the PMF of X. Be sure to write the value of Px(x) for all r from -∞ to ∞. 3.4.3 The random variable X has CDF x < -3, -3 <x < 5, 0.4 Fx (x) = 0.8 5 <x<7, x 27. 3 ms Send a chat
Send a chat 3.5.6 Find the expected value of the ran- (d) Рos dom variable Y in Problem 3.4.1. Make up 3.5.7 Find the expected value of the ran- example dom variable X in Problem 3.4.2. 3.5.14 3.5.8 Find the expected value of the ran= dom variable X in Problem 3.4.3. (a), Ki (b) Кi 3.5.9 Use Definition 3.13 to calculate the (c) expected value of a binomial (4, 1/2) ran- dom variable X. (d) 3.5.15 3.5.10 X is the discrete uniform (1,5) ran-
Transcribed Image Text:Send a chat 3.5.6 Find the expected value of the ran- (d) Рos dom variable Y in Problem 3.4.1. Make up 3.5.7 Find the expected value of the ran- example dom variable X in Problem 3.4.2. 3.5.14 3.5.8 Find the expected value of the ran= dom variable X in Problem 3.4.3. (a), Ki (b) Кi 3.5.9 Use Definition 3.13 to calculate the (c) expected value of a binomial (4, 1/2) ran- dom variable X. (d) 3.5.15 3.5.10 X is the discrete uniform (1,5) ran-
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