The mean of four observations is 3 . If the sum of the squares of these observations is 48 , then their…
The mean of four observations is 3 . If the sum of the squares of these observations is 48 , then their standard deviation is
- $\sqrt{7}$
- $\sqrt{2}$
- $\sqrt{3}$
- $\sqrt{5}$
Solution
Let four observations are be $x_1, x_2, x_3$ and $x_4$
Given, mean
and
$
\begin{aligned}
(\bar{x}) & =3 \\
\Sigma x_i^2 & =48
\end{aligned}
$
$\begin{aligned} \therefore \quad \mathrm{SD} & =\sqrt{\frac{\sum x_i^2}{n}-(\bar{x})^2} \\ =\sqrt{\frac{48}{4}-(3)^2}=\sqrt{12-9} & =\sqrt{3}\end{aligned}$
Asked in: AP EAMCET 2014
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