#statistics #math #theory #bias
- Variance formula: \(s^2 = \frac{1}{n-1} \sum_{i=1}^{n} (x_i - \overline{x})^2\)
- The formula above has \(\frac{1}{n-1}\) which means degrees of freedom.
-
Degrees of freedom given a unbiased estimative of the variance and standard deviation
- standard deviation: \(sd = \sqrt{variance}\)
References
- Bruce, 2017, p215