MATLAB: How to generate 10 iid Gaussian random samples having mean 0 and variance 10. From the generated samples check the mean and the variance. Repeat the experiment for 100 samples, 1000 samples and so on.

generation of gaussian random samples with mean 0 and variance 10Statistics and Machine Learning Toolbox

How to solve this?

Best Answer

Hi,

The following lines of code might be helpful:

mu = 0;
variance = 10;
num_sample = 1000;
sample_arr = mu+sqrt(variance)*randn(num_sample,1);

You can visit the following link to the documentation for randn function for further help:

https://www.mathworks.com/help/matlab/ref/randn.html

Hope this helps!

Related Solutions

MATLAB: How to obtain samples from a normal distribution (Gaussian) where the distribution has a chosen mean and variance

You can transform the random numbers returned by RANDN, which are normally distributed with mean 0 and variance 1, to have whatever mean and variance you desire. If your desired mean is MU and your desired variance is VAR, the following code can be used to return a normally distributed random number with mean MU and variance VAR:

randn*sqrt(VAR)+MU

Alternately, if you have the Statistics Toolbox you can use the function NORMRND to generate this data. The Statistics Toolbox also contains functions for generating random numbers from other distributions, such as the Poisson, Binomial, or Exponential distributions. You can read more about the random number generation capabilities of the Statistics Toolbox here:

https://www.mathworks.com/products/statistics.html

MATLAB: Iid

Can't you do:

    A = randn(10,10);
    Q = orth(A');

or even

      Q = qr(A');

Best Answer

Related Solutions

MATLAB: How to obtain samples from a normal distribution (Gaussian) where the distribution has a chosen mean and variance

MATLAB: Iid

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