Let x denote the values of the variable in question.
Suppose there are n observations.
Let Sx = the sum of all the values.
then the mean of x, Mx = Sx/n
Let Sxx = the sum of all the squares of the values.
The Vx (= the variance of x) is Sxx - (Mx)^2
and sigma(x) = sqrt(Vx).
Therefore one sigma deviation, relative to the mean,
= Mx - sigma(x), Mx + sigma(x).
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