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If $\sum_{i=1}^{n}(x_i - a) = n$ and $\sum_{i=1}^{n}(x_i - a)^2 = na$, $(n, a > 1)$, then the standard deviation of $n$ observations $x_1, x_2, \ldots, x_n$ is:
(1) $a - 1$ (2) $n\sqrt{a-1}$ (3) $\sqrt{n(a-1)}$ (4) $\sqrt{a-1}$
S.D. $= \sqrt{a - 1}$.
BETA
