[Solved] Generate Gaussian and Uniform Random Variable [closed]

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Generally I’m not in the habit of answering questions that clearly prove you haven’t tried anything yourself. Today is no different, but I’ll do the following:

I’m gonna provide you with a little code, that contains a few intentional errors. It’s up to you to figure out what the code does, and where the problems are.

Type help <command> or doc <command> in the Matlab command prompt to get more information on a specific command, for example: 

>> help rand

will give you a wealth of information on the rand function. Now, without further ado: 

%%# normal distribution

nvars = 1e6;

N = randn(nvars,1);

f = @(x) 1/sqrt(2*pi) * exp( -x^2 );

figure(1), clf, hold on

[n, x] = hist(N, 50);    
bar(x, n)

x = -10:10;
plot(x, f(x), 'r')



%%# uniform distribution

nvars = 1e6;

U = rand(nvars,1);

g = @(x) x>=0&x<=1;

figure(2), clf, hold on

[n, x] = hist(U, 2);
bar(x, n)

x = -1.5:1.5;
plot(x, g(x), 'r')

NOTE: After fixing the errors, it’s up to you if you consider this “proof” or not. If I were a high school teacher, I might, but if I were a professor, I certainly wouldn’t 🙂

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solved Generate Gaussian and Uniform Random Variable [closed]