Let X and Y be independent random variables with the same geometric distribution. (a) Show that U and V are independent, where U and V are defined by U = min (X,Y) and V=X-Y. (b) Find the distribution of Z = X/(X+Y), where we define Z = 0 if X + Y = 0. (c) Find the joint pmf of X and X + Y.

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Let X and Y be independent random variables with the same geometric distribution.
(a) Show that U and V are independent, where U and V are defined by
U = min (X,Y) and V = X-Y.
(b) Find the distribution of Z = X/(X+Y), where we define Z = 0 if X + Y = 0.
(c) Find the joint pmf of X and X + Y.
Transcribed Image Text:Let X and Y be independent random variables with the same geometric distribution. (a) Show that U and V are independent, where U and V are defined by U = min (X,Y) and V = X-Y. (b) Find the distribution of Z = X/(X+Y), where we define Z = 0 if X + Y = 0. (c) Find the joint pmf of X and X + Y.
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