50 values of the variable x are summarised by
\(\Sigma(x - 20) = 35\) and \(\Sigma x^2 = 25036\).
Find the variance of these 50 values.
Solution
First, calculate \(\Sigma x\) using the given \(\Sigma(x - 20) = 35\):
\(\Sigma x - 50 \times 20 = 35\)
\(\Sigma x = 35 + 1000 = 1035\)
Now, find the mean \(\bar{x}\):
\(\bar{x} = \frac{\Sigma x}{50} = \frac{1035}{50} = 20.7\)
Use the formula for variance:
\(\text{Variance} = \frac{\Sigma x^2}{50} - \left(\frac{\Sigma x}{50}\right)^2\)
Substitute the values:
\(\text{Variance} = \frac{25036}{50} - \left(\frac{1035}{50}\right)^2\)
\(\text{Variance} = 500.72 - (20.7)^2\)
\(\text{Variance} = 500.72 - 428.49\)
\(\text{Variance} = 72.23\)
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