Table of contents
The mean of the input data is calculated using:
\overline{x}=\frac{\sum_{i=1}^{n}{x_i}}{n}
.. autofunction:: pystats.mean(x: List[float]) -> float :noindex:
The standard deviation of the input data is calculated using:
s=\sqrt{\frac{\sum_{i=1}^{n}{(x_i - \overline{x})^2}}{n-1}}
This function returns the standard deviation of the sample; that is, it returns the unbiased standard deviation.
.. autofunction:: pystats.sd(x: List[float]) -> float :noindex:
The variance of the input data is calculated using:
s^2=\frac{\sum_{i=1}^{n}{(x_i - \overline{x})^2}}{n-1}
This function returns the variance of the sample; that is, it returns the unbiased variance.
.. autofunction:: pystats.var(x: List[float]) -> float :noindex: