The continuous random variables X, Y are independently uniformly distributed on the interval [0, 1]. Let Z = X + Y. By considering (X, Y) as a uniformly distributed point in the unit square (or otherwise) calculate the cumulative density function Fz(z) and the probability density function fz(z). (a) P( ≤ Z ≤3) (b) For 0 ≤ z ≤ 1 we have fz(z) = (c) For 1 ≤ z ≤ 2 we have fz(z) = =

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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The continuous random variables ?,?X,Y are independently uniformly distributed on the interval [0,1][0,1]. Let ?=?+?Z=X+Y.

 

By considering (?,?) as a uniformly distributed point in the unit square (or otherwise) calculate the cumulative density function ??(?) and the probability density function ??(?).

(a) P(2/5 ≤ Z ≤ 7/5)= 

(b) For 0≤ z ≤1 we have ??(?)=

(c) For 1≤ z ≤2 we have ??(?)=

 

 
The continuous random variables X, Y are independently uniformly distributed on the interval [0, 1]. Let Z = X + Y.
By considering (X, Y) as a uniformly distributed point in the unit square (or otherwise) calculate the cumulative density function Fz(z) and
the probability density function fz(z).
(a) P( < Z < ) =
(b) For 0 < z < 1 we have fz(z) =
(c) For 1 < z < 2 we have fz(z) =
Transcribed Image Text:The continuous random variables X, Y are independently uniformly distributed on the interval [0, 1]. Let Z = X + Y. By considering (X, Y) as a uniformly distributed point in the unit square (or otherwise) calculate the cumulative density function Fz(z) and the probability density function fz(z). (a) P( < Z < ) = (b) For 0 < z < 1 we have fz(z) = (c) For 1 < z < 2 we have fz(z) =
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