Standard Deviation Series Function

The Standard Deviation series function is used to calculate the standard deviations of the data in the source series. This series function takes one or multiple source series. If only one source series is provided, all data in the value component of the destination series will be assigned with the standard deviation of the values in the function domain of the value component of the source series. If multiple source series are provided, each value in the value component of the destination series is the standard deviation of the corresponding data in the value components of the individual source series.

Two types of standard deviations are supported: population standard deviation and sample standard deviation. The user can select the type of standard deviation on the Standard Deviation tab-page of the Series Function dialog box. A population standard deviation is calculated using

A sample deviation is calculated using

If multiple source series are provided but their position components contain incompatible data (e.g. the first contains 1, 2, 4, 5 and the second contains 1, 2, 3, 5), DataScene will first use cubic-spline interpolation to generate compatible position and value components for the source series and then calculate the standard deviations.

See Also

• Series Function
• Variance
• Series Function Dialog Box