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# scipy.stats.mstats.skew

`scipy.stats.mstats.``skew`(a, axis=0, bias=True)

  Computes the skewness of a data set.

  For normally distributed data, the skewness should be about 0. A skewness value > 0 means that there is more weight in the left tail of the distribution. The function skewtest can be used to determine if the skewness value is close enough to 0, statistically speaking.

  Parameters : | a : ndarray data axis : int or None axis along which skewness is calculated bias : bool If False, then the calculations are corrected for statistical bias.
  Returns : | skewness : ndarray The skewness of values along an axis, returning 0 where all values are equal.

  References

  [CRCProbStat2000] Section 2.2.24.1

  [CRCProbStat2000] | (1, 2) Zwillinger, D. and Kokoska, S. (2000). CRC Standard Probability and Statistics Tables and Formulae. Chapman & Hall: New York. 2000.

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