Variance Math Example 4

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Example 4

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A data set has n=5n=5 values with mean ฮผ=10\mu = 10 and โˆ‘xi2=530\sum x_i^2 = 530. Find the variance using the computational formula ฯƒ2=โˆ‘xi2nโˆ’ฮผ2\sigma^2 = \frac{\sum x_i^2}{n} - \mu^2.

Solution

  1. 1
    Apply the computational formula: ฯƒ2=โˆ‘xi2nโˆ’ฮผ2\sigma^2 = \frac{\sum x_i^2}{n} - \mu^2
  2. 2
    Substitute values: ฯƒ2=5305โˆ’102=106โˆ’100=6\sigma^2 = \frac{530}{5} - 10^2 = 106 - 100 = 6

Answer

ฯƒ2=6\sigma^2 = 6
The computational formula ฯƒ2=โˆ‘xi2nโˆ’ฮผ2\sigma^2 = \frac{\sum x_i^2}{n} - \mu^2 is algebraically equivalent to the definition but avoids computing each deviation separately, useful when only summary statistics are available.

About Variance

The variance is the average of the squared deviations from the mean: ฯƒ2=1nโˆ‘(xiโˆ’xห‰)2\sigma^2 = \frac{1}{n}\sum (x_i - \bar{x})^2. It is the square of the standard deviation.

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