If the mean of 100 observations is 50 and their standard deviation is 5 , then the sum of squares of all…
If the mean of 100 observations is 50 and their standard deviation is 5 , then the sum of squares of all observations is
- 50000
- 250000
- 252500
- 255000
Solution
Given; \(\bar{x}=50\)
\(n=100\) and \(S . D(\sigma)=5\)
As, \(\bar{x}=\frac{\Sigma x_i}{n} \Rightarrow \Sigma x_i=n . \bar{x}=5000\).
Also, S.D. is given by,
\(\begin{aligned}
\sigma & =\sqrt{\frac{\Sigma x_i^2}{n}-\left(\frac{\Sigma x_i}{n}\right)^2} \\
\Rightarrow \quad \sigma^2 & =\frac{\Sigma x_i^2}{n}-(\bar{x})^2 \Rightarrow 25=\frac{\Sigma x_i^2}{100}-(50)^2 \\
\Rightarrow \quad \Sigma x_i^2 & =252500
\end{aligned}\)
Asked in: AP EAMCET 2020 (17 Sep Shift 2)
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