6) Assume that there is a continuous random variable X with the following probability density function. f&) = {°C Sc(1 – x4), 0, 0 < x<1 otherwise a) Find the constant c, such that f(x) becomes a pdf. b) Find the mean (expected value) of the random variable x. c) p(1/3
6) Assume that there is a continuous random variable X with the following probability density function. f&) = {°C Sc(1 – x4), 0, 0 < x<1 otherwise a) Find the constant c, such that f(x) becomes a pdf. b) Find the mean (expected value) of the random variable x. c) p(1/3
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 24EQ
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
Transcribed Image Text:6)
Assume that there is a continuous random variable X with the following
probability density function.
Sc(1 – x*),
0,
0 <x<1
f(x) =
otherwise
a) Find the constant c, such that f(x) becomes a pdf.
b) Find the mean (expected value) of the random variable x.
c) p(1/3<x<1/2)
d) p(x<0.5)
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