The standard deviation of sample data is,
[tex]S.D=\sqrt{\frac{{(x_1-\({x})^{2}(x_2-\({x})^{2})....(x_n-\({x})^{2}}}{n-1} }[/tex]
The random variables, samples, statistical populations, information sets, or probabilistic distributions are equal to the square root of its variance.and square root of variance is nothing but standard deviation
The sampling divided by the n size of the data set is less than one
that is n - 1.
What is the standard deviation ?
The square root of the variance.
Therefore,
The standard deviation of sample data is,
[tex]S.D=\sqrt{\frac{{(x_1-\({x})^{2}(x_2-\({x})^{2})....(x_n-\({x})^{2}}}{n-1} }[/tex]
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