![]() ![]() Every normal distribution is a version of the standard normal distribution that’s been stretched or squeezed and moved horizontally right or left. However - for a large n and a sufficiently large stddev, you are pretty much guaranteed to get some samples less than xmin and some greater than xmax. What is the standard normal distribution The standard normal distribution, also called the z-distribution, is a special normal distribution where the mean is 0 and the standard deviation is 1. ![]() > out = xmin + ( (xmean-xmin) + stddev * randn(1,n) ) Īnd you can verify that mean(out) and std(out) are approximately 150 and 25, respectively. If you expect the mean to be, say, 150 and the standard deviation to be 25, you would accomplish this as follows: > stddev = 25 Generate a sample of size 100 from a normal distribution with mean 10 and variance 1. To change the mean of this distribution to an arbitrary x and the standard deviation to y, simply do x + y*randn(1,n). First, you'll want to use randn for a normal distribution - rand will draw from a uniform distribution.Ĭalling randn(1,n) will return n normally distributed samples from the standard distribution with mean of zero and a variance (standard deviation squared) of one.
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