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
  1. 50000
  2. 250000
  3. 252500
  4. 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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