(name, nu)
return rv(name, StudentTDistribution, (nu, ))
r"""
    Create a continuous random variable with a student's t distribution.

    The density of the student's t distribution is given by

    .. math::
        f(x) := \frac{\Gamma \left(\frac{\nu+1}{2} \right)}
                {\sqrt{\nu\pi}\Gamma \left(\frac{\nu}{2} \right)}
                \left(1+\frac{x^2}{\nu} \right)^{-\frac{\nu+1}{2}}

    Parameters
    ==========

    nu : Real number, `\nu > 0`, the degrees of freedom

    Returns
    =======

    A RandomSymbol.

    Examples
    ========

    >>> from sympy.stats import StudentT, density, E, variance
    >>> from sympy import Symbol, simplify, pprint

    >>> nu = Symbol("nu", positive=True)
    >>> z = Symbol("z")

    >>> X = StudentT("x", nu)

    >>> D = density(X)(z)
    >>> pprint(D, use_unicode=False)
                nu   1
              - -- - -
                2    2
      /     2\
      |    z |
      |1 + --|
      \    nu/
    --------------------
      ____     /     nu\
    \/ nu *beta|1/2, --|
               \     2 /

    References
    ==========

    .. [1] http://en.wikipedia.org/wiki/Student_t-distribution
    .. [2] http://mathworld.wolfram.com/Studentst-Distribution.html
r"""
    Create a continuous random variable with a student's t distribution.
r Create a continuous random variable with a student s t distribution .
def StudentT(name, nu):
    r"""
    Create a continuous random variable with a student's t distribution.

    The density of the student's t distribution is given by

    .. math::
        f(x) := \frac{\Gamma \left(\frac{\nu+1}{2} \right)}
                {\sqrt{\nu\pi}\Gamma \left(\frac{\nu}{2} \right)}
                \left(1+\frac{x^2}{\nu} \right)^{-\frac{\nu+1}{2}}

    Parameters
    ==========

    nu : Real number, `\nu > 0`, the degrees of freedom

    Returns
    =======

    A RandomSymbol.

    Examples
    ========

    >>> from sympy.stats import StudentT, density, E, variance
    >>> from sympy import Symbol, simplify, pprint

    >>> nu = Symbol("nu", positive=True)
    >>> z = Symbol("z")

    >>> X = StudentT("x", nu)

    >>> D = density(X)(z)
    >>> pprint(D, use_unicode=False)
                nu   1
              - -- - -
                2    2
      /     2\
      |    z |
      |1 + --|
      \    nu/
    --------------------
      ____     /     nu\
    \/ nu *beta|1/2, --|
               \     2 /

    References
    ==========

    .. [1] http://en.wikipedia.org/wiki/Student_t-distribution
    .. [2] http://mathworld.wolfram.com/Studentst-Distribution.html
    """

    return rv(name, StudentTDistribution, (nu, ))
def StudentT ( name , nu ) : return rv ( name , StudentTDistribution , ( nu , ) )