c) Let X and Y be two discrete random variables. We define Z = X + Y , i.e. Vw E 2,Z(@) = X(@) +Y(@). %3D i) Show that: P(Z = z) = ) fx,x(x, z – x) ii) Now assume that X and Y are independent. Show that: P(Z = 2) = fx(x)fy(z– x) = _fx(z-y)fy(y) %3D From now on, we assume that X and Y are independent random variables which have the Poisson distributions with parameters Ax and Ay, respectively. iii) Show that Z has the Poisson distribution, with parameter Ax + Ay. iv) Show that the conditional distribution of X , given X+ Y = n , is binomial, and find its parameters.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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c) Let X and Y be two discrete random variables. We define Z = X + Y, i.e. Vw e
Ω,Ζ(ω) = Χ(ω) + Y(ω) .
i) Show that:
P(Z = 2) = ) _fx,r(x, z – x)
ii) Now assume that X and Y are independent. Show that:
P(Z = z) = ) fx(x)fy(z- x) = ) fx(z – y)fy(y)
ニ
From now on, we assume that X and Y are independent random variables which have
the Poisson distributions with parameters Ax and Ay, respectively.
iii) Show that Z has the Poisson distribution, with parameter Ax + Ay.
iv) Show that the conditional distribution of X, given X+ Y = n , is binomial, and
find its parameters.
Transcribed Image Text:c) Let X and Y be two discrete random variables. We define Z = X + Y, i.e. Vw e Ω,Ζ(ω) = Χ(ω) + Y(ω) . i) Show that: P(Z = 2) = ) _fx,r(x, z – x) ii) Now assume that X and Y are independent. Show that: P(Z = z) = ) fx(x)fy(z- x) = ) fx(z – y)fy(y) ニ From now on, we assume that X and Y are independent random variables which have the Poisson distributions with parameters Ax and Ay, respectively. iii) Show that Z has the Poisson distribution, with parameter Ax + Ay. iv) Show that the conditional distribution of X, given X+ Y = n , is binomial, and find its parameters.
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