atoti.array.std module¶
- atoti.array.std(measure, *, mode='sample')¶
Return a measure equal to the standard deviation of the elements of the passed array measure.
- Parameters
measure (
MeasureDescription
) – The measure to get the standard deviation of.mode (
Literal
[‘sample’, ‘population’]) –One of the supported modes:
The
sample
standard deviation, similar to Excel’sSTDEV.S
, is \(\sqrt{\frac{\sum_{i=0}^{n} (X_i - m)^{2}}{n - 1}}\) wherem
is the sample mean andn
the size of the sample. Use this mode if the data represents a sample of the population.The
population
standard deviation, similar to Excel’sSTDEV.P
is \(\sqrt{\frac{\sum_{i=0}^{n}(X_i - m)^{2}}{n}}\) wherem
is the mean of theXi
elements andn
the size of the population. Use this mode if the data represents the entire population.
- Return type