
{{alias}}( arrays )
    Computes a one-sample Z-test for a one-dimensional ndarray.

    Parameters
    ----------
    arrays: ArrayLikeObject<ndarray>
        Array-like object containing the following ndarrays:

        - a one-dimensional input ndarray.
        - a zero-dimensional output ndarray containing a results object.
        - a zero-dimensional ndarray specifying the alternative hypothesis.
        - a zero-dimensional ndarray specifying the significance level.
        - a zero-dimensional ndarray specifying the mean under the null
        hypothesis.
        - a zero-dimensional ndarray specifying the known standard deviation.

    Returns
    -------
    out: ndarray
        Output ndarray.

    Examples
    --------
    // Create the input ndarray:
    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( [ 1.0, -2.0, 2.0 ], 'generic' );

    // Create the output ndarray:
    > var S = {{alias:@stdlib/stats/base/ztest/one-sample/results/float64}};
    > var Results = {{alias:@stdlib/array/struct-factory}}( S );
    > var obuf = new Results( 1 );
    > var out = new {{alias:@stdlib/ndarray/ctor}}( S, obuf, [], [ 0 ], 0, 'row-major' );

    // Specify the alternative hypothesis:
    > var alt = {{alias:@stdlib/ndarray/from-scalar}}( 'two-sided' );

    // Specify the significance level:
    > var opts = { 'dtype': 'generic' };
    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 0.05, opts );

    // Specify the mean under the null hypothesis:
    > var mu = {{alias:@stdlib/ndarray/from-scalar}}( 0.0, opts );

    // Specify the known standard deviation:
    > var sigma = {{alias:@stdlib/ndarray/from-scalar}}( 1.0, opts );

    // Perform a Z-test:
    > {{alias}}( [ x, out, alt, alpha, mu, sigma ] );

    // Print the results:
    > out.get().toString()

    See Also
    --------

