The set of X1, X2, ..., XN is called X. Given that mean(X), is the sum of all X divided by N, the variance of X is mean((Xi - mean(X))2).
The standard deviation of X is the square root of the variance.
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The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
The square of the standard deviation is called the variance. That is because the standard deviation is defined as the square root of the variance.
Standard deviation is the square root of the variance. Therefore, the standard deviation is the sqrt 36 or 6.
No. Standard deviation is the square root of a non-negative number (the variance) and as such has to be at least zero. Please see the related links for a definition of standard deviation and some examples.
Square the standard deviation to obtain the variance. The variance is 62 or 36.