(name, k)
return rv(name, ChiSquaredDistribution, (k, ))
r"""
    Create a continuous random variable with a Chi-squared distribution.

    The density of the Chi-squared distribution is given by

    .. math::
        f(x) := \frac{1}{2^{\frac{k}{2}}\Gamma\left(\frac{k}{2}\right)}
                x^{\frac{k}{2}-1} e^{-\frac{x}{2}}

    with :math:`x \geq 0`.

    Parameters
    ==========

    k : A positive Integer, `k > 0`, the number of degrees of freedom

    Returns
    =======

    A RandomSymbol.

    Examples
    ========

    >>> from sympy.stats import ChiSquared, density, E, variance
    >>> from sympy import Symbol, simplify, combsimp, expand_func

    >>> k = Symbol("k", integer=True, positive=True)
    >>> z = Symbol("z")

    >>> X = ChiSquared("x", k)

    >>> density(X)(z)
    2**(-k/2)*z**(k/2 - 1)*exp(-z/2)/gamma(k/2)

    >>> combsimp(E(X))
    k

    >>> simplify(expand_func(variance(X)))
    2*k

    References
    ==========

    .. [1] http://en.wikipedia.org/wiki/Chi_squared_distribution
    .. [2] http://mathworld.wolfram.com/Chi-SquaredDistribution.html
r"""
    Create a continuous random variable with a Chi-squared distribution.
r Create a continuous random variable with a Chi - squared distribution .
def ChiSquared(name, k):
    r"""
    Create a continuous random variable with a Chi-squared distribution.

    The density of the Chi-squared distribution is given by

    .. math::
        f(x) := \frac{1}{2^{\frac{k}{2}}\Gamma\left(\frac{k}{2}\right)}
                x^{\frac{k}{2}-1} e^{-\frac{x}{2}}

    with :math:`x \geq 0`.

    Parameters
    ==========

    k : A positive Integer, `k > 0`, the number of degrees of freedom

    Returns
    =======

    A RandomSymbol.

    Examples
    ========

    >>> from sympy.stats import ChiSquared, density, E, variance
    >>> from sympy import Symbol, simplify, combsimp, expand_func

    >>> k = Symbol("k", integer=True, positive=True)
    >>> z = Symbol("z")

    >>> X = ChiSquared("x", k)

    >>> density(X)(z)
    2**(-k/2)*z**(k/2 - 1)*exp(-z/2)/gamma(k/2)

    >>> combsimp(E(X))
    k

    >>> simplify(expand_func(variance(X)))
    2*k

    References
    ==========

    .. [1] http://en.wikipedia.org/wiki/Chi_squared_distribution
    .. [2] http://mathworld.wolfram.com/Chi-SquaredDistribution.html
    """

    return rv(name, ChiSquaredDistribution, (k, ))
def ChiSquared ( name , k ) : return rv ( name , ChiSquaredDistribution , ( k , ) )