(X, n, condition=None, **kwargs)
return (1/sigma)**n*cmoment(X, n, condition, **kwargs)
Return the nth Standardized moment of a random expression i.e.
    E( ((X - mu)/sigma(X))**n )

    Examples
    ========

    >>> from sympy.stats import skewness, Exponential, smoment
    >>> from sympy import Symbol
    >>> rate = Symbol('lambda', positive=True, real=True, bounded = True)
    >>> Y = Exponential('Y', rate)
    >>> smoment(Y, 4)
    9
    >>> smoment(Y, 4) == smoment(3*Y, 4)
    True
    >>> smoment(Y, 3) == skewness(Y)
    True
Return the nth Standardized moment of a random expression i.e.
    E( ((X - mu)/sigma(X))**n )
Return the nth Standardized moment of a random expression i . e . E ( (( X - mu ) / sigma ( X )) ** n )
def smoment(X, n, condition=None, **kwargs):
    """
    Return the nth Standardized moment of a random expression i.e.
    E( ((X - mu)/sigma(X))**n )

    Examples
    ========

    >>> from sympy.stats import skewness, Exponential, smoment
    >>> from sympy import Symbol
    >>> rate = Symbol('lambda', positive=True, real=True, bounded = True)
    >>> Y = Exponential('Y', rate)
    >>> smoment(Y, 4)
    9
    >>> smoment(Y, 4) == smoment(3*Y, 4)
    True
    >>> smoment(Y, 3) == skewness(Y)
    True
    """
    sigma = std(X, condition, **kwargs)
    return (1/sigma)**n*cmoment(X, n, condition, **kwargs)
def smoment ( X , n , condition = None , * * kwargs ) : sigma = std ( X , condition , * * kwargs ) return ( 1 / sigma ) ** n * cmoment ( X , n , condition , * * kwargs )