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th = 2*pi*rand(1,1000); % uniformly distributed r.v range of 0~2pi
X = sqrt(E).*cos(th); % equation of X vector
Y = sqrt(E).*sin(th); % equation of Y vector
subplot(1, 2, 1);
histfit(X,50); % bin value is 50 and plot histogram
hold on
title(\'Plot the PDF of X with lambda=10\'); xlabel(\'X\'); ylabe
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