(X, condition=None, **kwargs)
return smoment(X, 3, condition, **kwargs)
Measure of the asymmetry of the probability distribution

    Positive skew indicates that most of the values lie to the right of
    the mean

    skewness(X) = E( ((X - E(X))/sigma)**3 )

    Examples
    ========

    >>> from sympy.stats import skewness, Exponential, Normal
    >>> from sympy import Symbol
    >>> X = Normal('X', 0, 1)
    >>> skewness(X)
    0
    >>> rate = Symbol('lambda', positive=True, real=True, bounded = True)
    >>> Y = Exponential('Y', rate)
    >>> skewness(Y)
    2
Measure of the asymmetry of the probability distribution
Measure of the asymmetry of the probability distribution
def skewness(X, condition=None, **kwargs):
    """
    Measure of the asymmetry of the probability distribution

    Positive skew indicates that most of the values lie to the right of
    the mean

    skewness(X) = E( ((X - E(X))/sigma)**3 )

    Examples
    ========

    >>> from sympy.stats import skewness, Exponential, Normal
    >>> from sympy import Symbol
    >>> X = Normal('X', 0, 1)
    >>> skewness(X)
    0
    >>> rate = Symbol('lambda', positive=True, real=True, bounded = True)
    >>> Y = Exponential('Y', rate)
    >>> skewness(Y)
    2
    """
    return smoment(X, 3, condition, **kwargs)
def skewness ( X , condition = None , * * kwargs ) : return smoment ( X , 3 , condition , * * kwargs )