### Navigation

- index
- modules |
- modules |
- next |
- previous |
- SciPy v0.12 Reference Guide (DRAFT) »
- Statistical functions (`scipy.stats`) »

# scipy.stats.skew

`scipy.stats.``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.

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- SciPy v0.12 Reference Guide (DRAFT) »
- Statistical functions (`scipy.stats`) »