Usage

`javascript
var dztest2 = require( '@stdlib/stats-base-ndarray-dztest2' );
`

#### dztest2( arrays )

Computes a two-sample Z-test for two one-dimensional double-precision floating-point ndarrays.

`javascript
var Float64Results = require( '@stdlib/stats-base-ztest-two-sample-results-float64' );
var resolveEnum = require( '@stdlib/stats-base-ztest-alternative-resolve-enum' );
var structFactory = require( '@stdlib/array-struct-factory' );
var Float64Array = require( '@stdlib/array-float64' );
var scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );
var ndarray = require( '@stdlib/ndarray-ctor' );

var opts = {
'dtype': 'float64'
};

var xbuf = new Float64Array( [ 4.0, 4.0, 6.0, 6.0, 5.0 ] );
var x = new ndarray( opts.dtype, xbuf, [ 5 ], [ 1 ], 0, 'row-major' );

var ybuf = new Float64Array( [ 3.0, 3.0, 5.0, 7.0, 7.0 ] );
var y = new ndarray( opts.dtype, ybuf, [ 5 ], [ 1 ], 0, 'row-major' );

var alt = scalar2ndarray( resolveEnum( 'two-sided' ), {
'dtype': 'int8'
});
var alpha = scalar2ndarray( 0.05, opts );
var diff = scalar2ndarray( 0.0, opts );
var sigmax = scalar2ndarray( 1.0, opts );
var sigmay = scalar2ndarray( 2.0, opts );

var ResultsArray = structFactory( Float64Results );
var out = new ndarray( Float64Results, new ResultsArray( 1 ), [], [ 0 ], 0, 'row-major' );

var v = dztest2( [ x, y, out, alt, alpha, diff, sigmax, sigmay ] );

var bool = ( v === out );
// returns true
`

The function has the following parameters:

- arrays: array-like object containing the following ndarrays in order:

1. first one-dimensional input ndarray.
2. second one-dimensional input ndarray.
3. a zero-dimensional output ndarray containing a [results object][@stdlib/stats/base/ztest/two-sample/results/float64].
4. a zero-dimensional ndarray specifying the alternative hypothesis.
5. a zero-dimensional ndarray specifying the significance level.
6. a zero-dimensional ndarray specifying the difference in means under the null hypothesis.
7. a zero-dimensional ndarray specifying the known standard deviation of the first one-dimensional input ndarray.
8. a zero-dimensional ndarray specifying the known standard deviation of the second one-dimensional input ndarray.