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Measures of Spread (Skewness and Kurtosis) (G Dataflow)

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    Last Modified: January 9, 2017

    Computes the skewness and kurtosis of a sequence. Skewness is a measurement of symmetry. Kurtosis is the peak measurement of a distribution.

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    x

    The input sequence.

    If x is empty, this node sets skewness and kurtosis to NaN.

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    weighting

    Whether the input sequence is a complete population or a random sample taken from a population.

    Name Description
    Sample

    The input sequence is a random sample taken from a population.

    Population

    The input sequence is a complete population.

    Default: Sample

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    error in

    Error conditions that occur before this node runs. The node responds to this input according to standard error behavior.

    Default: No error

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    skewness

    Symmetrical measurement of the input sequence.

    Understanding the Value of skewness

    A negative value of skewness indicates that the left side of the probability density function is longer than the right side. The following image shows negative skewness.

    A positive value of skewness indicates that the right side of the probability density function is longer than the right side. The following image shows positive skewness.

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    kurtosis

    Peak measurement of the input sequence.

    Understanding the Value of kurtosis

    When determining kurtosis, normal distribution has a kurtosis value of 3. A kurtosis value of less than 3 indicates a flatter distribution than normal. A kurtosis value of greater than 3 indicates a sharper distribution than normal. The following figure shows three distributions with kurtosis values of 6, 3, 1.8.

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    error out

    Error information. The node produces this output according to standard error behavior.

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: Not supported


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