1. Assume that X is a continuous random variable with cumula- tive distribution function (cdf) 0. if r <1 F(x) = 1– (5 – 4.r)² if 1 1.25. (a) Find the probability density function (pdf) f(x) of X. (b) Find the expected value of X.
1. Assume that X is a continuous random variable with cumula- tive distribution function (cdf) 0. if r <1 F(x) = 1– (5 – 4.r)² if 1 1.25. (a) Find the probability density function (pdf) f(x) of X. (b) Find the expected value of X.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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
Transcribed Image Text:1.
Assume that X is a continuous random variable with cumula-
tive distribution function (cdf)
0.
if x <1
F(x)
1 – (5 – 4.x)?
if 1<r<1.25
|
1
if x > 1.25.
(a) Find the probability density function (pdf) f(x) of X.
(b) Find the expected value of X.
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