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atoti.array.std(measure, /, *, mode=‘sample’)

Return a measure equal to the standard deviation of the elements of the passed array measure.
  • Parameters:
    • measure (VariableMeasureConvertible) – The measure to get the standard deviation of.
    • mode (Literal [ ‘sample’ , ‘population’ ]) – One of the supported modes:
      • The sample standard deviation, similar to Excel’s STDEV.S, is ∑i=1n(Xi−m)2n−1\sqrt{\frac{\sum_{i=1}^{n} (X_i - m)^{2}}{n - 1}} where m is the sample mean and n the size of the sample. Use this mode if the data represents a sample of the population.
      • The population standard deviation, similar to Excel’s STDEV.P is ∑i=1n(Xi−m)2n\sqrt{\frac{\sum_{i=1}^{n}(X_i - m)^{2}}{n}} where m is the mean of the Xi elements and n the size of the population. Use this mode if the data represents the entire population.
  • Return type: MeasureOperation