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Step by step
- 10, 12, 11, 13
4 values.
- \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.
- (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.
- \sigma^2 = \frac{\sum (x_i - \bar x)^2}{n} = \frac{5}{4}
Population variance (divide by n).
- s^2 = \frac{\sum (x_i - \bar x)^2}{n - 1} = \frac{5}{3}
Sample variance (divide by n − 1).
- \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}