s = std(X)
s = std(X), where X is a matrix, returns a row vector s containing the standard deviation of each column.If X is a vector, s is the standard deviation of the elements of X.
The standard deviation s of a sample of data is
where
and n is the number of elements in the sample.
Using this definition, s.^2 is the minimum variance unbiased estimate of sigma squared (the scale parameter of the normal distribution).
corrcoef,cov,mean,median
(c) Copyright 1994 by The MathWorks, Inc.