npm package: @stdlib/stats-base-dists-chisquare-median
Description: Chi-squared distribution median.
Author: The Stdlib Authors
Latest version: 0.2.3

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<details>
  <summary>
    About stdlib...
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  <p>We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.</p>
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# Median

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> [Chi-squared][chisquare-distribution] distribution [median][median].

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<section class="intro">

</section>

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<!-- Package usage documentation. -->

<section class="installation">

## Installation

```bash
npm install @stdlib/stats-base-dists-chisquare-median
```

</section>

<section class="usage">

## Usage

```javascript
var median = require( '@stdlib/stats-base-dists-chisquare-median' );
```

#### median( k )

Returns the [median][median] of a [chi-squared][chisquare-distribution] distribution with degrees of freedom `k`.

```javascript
var v = median( 9.0 );
// returns ~8.343

v = median( 2.0 );
// returns ~1.386
```

If provided `k < 0`, the function returns `NaN`.

```javascript
var y = median( -1.0 );
// returns NaN
```

</section>

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<section class="notes">

</section>

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<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var median = require( '@stdlib/stats-base-dists-chisquare-median' );

var opts = {
    'dtype': 'float64'
};
var k = uniform( 10, 0.0, 20.0, opts );

logEachMap( 'k: %0.4f, Median(X;k): %0.4f', k, median );
```

</section>

<!-- /.examples -->

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<section class="main-repo" >

* * *

## Notice

This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

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[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-base-dists-chisquare-median.svg
[npm-url]: https://npmjs.org/package/@stdlib/stats-base-dists-chisquare-median

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[test-url]: https://github.com/stdlib-js/stats-base-dists-chisquare-median/actions/workflows/test.yml?query=branch:v0.2.3

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-dists-chisquare-median/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-dists-chisquare-median?branch=main

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[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

[deno-url]: https://github.com/stdlib-js/stats-base-dists-chisquare-median/tree/deno
[deno-readme]: https://github.com/stdlib-js/stats-base-dists-chisquare-median/blob/deno/README.md
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[branches-url]: https://github.com/stdlib-js/stats-base-dists-chisquare-median/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-dists-chisquare-median/main/LICENSE

[chisquare-distribution]: https://en.wikipedia.org/wiki/Chi-squared_distribution

[median]: https://en.wikipedia.org/wiki/Median

</section>

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