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limits : None or (lower limit, upper limit), optional
SciPy Reference Guide, Release 0.8.dev
Values in the input array less than the lower limit or greater than the upper limit will
be ignored. When limits is None, then all values are used. Either of the limit values
in the tuple can also be None representing a half-open interval. The default value is
None.
inclusive : (bool, bool), optional
Returns
tsem : float
A tuple consisting of the (lower flag, upper flag). These flags determine whether
values exactly equal to the lower or upper limits are included. The default value is
(True, True).
moment(a, moment=1, axis=0)
Calculates the nth moment about the mean for a sample.
Generally used to calculate coefficients of skewness and kurtosis.
Parameters
a : array
moment : int
axis : int or None
Returns
The appropriate moment along the given axis or over all values if axis is :
None. :
variation(a, axis=0)
Computes the coefficient of variation, the ratio of the biased standard deviation to the mean.
Parameters
a : array
References
axis : int or None
[CRCProbStat2000] Section 2.2.20
[CRCProbStat2000]
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 : array
axis : int or None
bias : bool
If False, then the calculations are corrected for statistical bias.
Returns
The skewness of values along an axis, returning 0 where all values are :
3.18. Statistical functions (scipy.stats) 643