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Variance of 10, 12, 11, 13

10,\ 12,\ 11,\ 13

Step by step

  1. 10, 12, 11, 13

    4 values.

  2. \bar{x} = \frac{10 + 12 + 11 + 13}{4} = \frac{46}{4} = \frac{23}{2}

    Mean: add them up and divide by how many there are.

  3. (10 - \frac{23}{2})^2 = \frac{9}{4} ,\; (12 - \frac{23}{2})^2 = \frac{1}{4} ,\; (11 - \frac{23}{2})^2 = \frac{1}{4} ,\; (13 - \frac{23}{2})^2 = \frac{9}{4}

    Squared deviations from the mean.

  4. \sigma^2 = \frac{\sum (x_i - \bar x)^2}{n} = \frac{5}{4}

    Population variance (divide by n).

  5. s^2 = \frac{\sum (x_i - \bar x)^2}{n - 1} = \frac{5}{3}

    Sample variance (divide by n − 1).

  6. \sigma = \sqrt{\frac{5}{4}} = \frac{\sqrt{5}}{2} \approx 1.1180,\quad s = \frac{\sqrt{15}}{3} \approx 1.2910

    Standard deviation is the square root of the variance.

Reveal the answer
\frac{5}{4}