Usage

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

#### sztest( arrays )

Computes a one-sample Z-test for a one-dimensional single-precision floating-point ndarray.

`javascript
var Float32Results = require( '@stdlib/stats-base-ztest-one-sample-results-float32' );
var resolveEnum = require( '@stdlib/stats-base-ztest-alternative-resolve-enum' );
var structFactory = require( '@stdlib/array-struct-factory' );
var Float32Array = require( '@stdlib/array-float32' );
var scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );
var ndarray = require( '@stdlib/ndarray-ctor' );

var opts = {
'dtype': 'float32'
};
var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
var x = new ndarray( opts.dtype, xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var alt = scalar2ndarray( resolveEnum( 'two-sided' ), {
'dtype': 'int8'
});
var alpha = scalar2ndarray( 0.05, opts );
var mu = scalar2ndarray( 0.0, opts );
var sigma = scalar2ndarray( 1.0, opts );

var ResultsArray = structFactory( Float32Results );
var out = new ndarray( Float32Results, new ResultsArray( 1 ), [], [ 0 ], 0, 'row-major' );

var v = sztest( [ x, out, alt, alpha, mu, sigma ] );

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

The function has the following parameters:

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

1. a one-dimensional input ndarray.
2. a zero-dimensional output ndarray containing a [results object][@stdlib/stats/base/ztest/one-sample/results/float32].
3. a zero-dimensional ndarray specifying the alternative hypothesis.
4. a zero-dimensional ndarray specifying the significance level.
5. a zero-dimensional ndarray specifying the mean under the null hypothesis.
6. a zero-dimensional ndarray specifying the known standard deviation.