How can I generate a sequence of normally distrubuted random variables with a specified mean and variance?

I want to generate a sequence with 10000 points of random variables with a gaussian distribution with mean 𝜇=1.5and variance 𝜎2=2.25. I'm not sure where to start or how to approach this problem.

Answer 1

[Ameer Hamza]

You can use normrnd(): https://www.mathworks.com/help/stats/normrnd.html if you have Statistics and Machine Learning Toolbox.

mu = 1.5;
Var = 2.25;
x = normrnd(mu, sqrt(Var), [1 10000])

Otherwise you can also use randn()

mu = 1.5;
Var = 2.25;
x = randn(1, 10000)*sqrt(Var)+mu;

[Haya Radi]

Thank you so much!

[Ameer Hamza]

I am glad to be of help!