{{alias}}( x[, n][, options] )
    Computes an exact test for the success probability in a Bernoulli
    experiment.

    The returned object comes with a `.print()` method which when invoked will
    print a formatted output of the results of the hypothesis test.

    Parameters
    ----------
    x: (number|Array<number>)
        Number of successes or two-element array with successes and failures.

    n: Array<number> (optional)
        Total number of observations.

    options: Object (optional)
        Options.

    options.alpha: number (optional)
        Number in the interval `[0,1]` giving the significance level of the
        hypothesis test. Default: `0.05`.

    options.alternative: string (optional)
        Indicates whether the alternative hypothesis is that the mean of `x` is
        larger than `mu` (`greater`), smaller than `mu` (`less`) or equal to
        `mu` (`two-sided`). Default: `'two-sided'`.

    options.p: number (optional)
        Hypothesized probability under the null hypothesis. Default: `0.5`.

    Returns
    -------
    out: Object
        Test result object.

    out.alpha: number
        Used significance level.

    out.rejected: boolean
        Test decision.

    out.pValue: number
        p-value of the test.

    out.statistic: number
        Sample proportion.

    out.ci: Array<number>
        1-alpha confidence interval for the success probability.

    out.nullValue: number
        Assumed success probability under H0.

    out.alternative: string
        Alternative hypothesis (`two-sided`, `less` or `greater`).

    out.method: string
        Name of test.

    out.print: Function
        Function to print formatted output.

    Examples
    --------
    > var out = {{alias}}( 682, 925 )
    {
        'pValue': ~3.544e-49,
        'statistic': ~0.737
        // ...
    }

    > out = {{alias}}( [ 682, 925 - 682 ] )
    {
        'pValue': ~3.544e-49,
        'statistic': ~0.737
        // ...
    }

    > out = {{alias}}( 21, 40, {
    ...     'p': 0.4,
    ...     'alternative': 'greater'
    ... })
    {
        'pValue': ~0.074,
        'statistic': 0.525
        // ...
    }

    See Also
    --------