## Usage
```javascript
var statistics = require( '@stdlib/stats' );
```
#### statistics
Standard library statistical functions.
```javascript
var stats = statistics;
// returns {...}
```
The namespace exposes the following statistical tests:
- [`anova1( x, factor[, opts] )`][@stdlib/stats/anova1]: perform a one-way analysis of variance.
- [`bartlettTest( a[,b,...,k][, opts] )`][@stdlib/stats/bartlett-test]: compute Bartlett’s test for equal variances.
- [`binomialTest( x[, n][, opts] )`][@stdlib/stats/binomial-test]: exact test for the success probability in a Bernoulli experiment.
- [`chi2gof( x, y[, ...args][, opts] )`][@stdlib/stats/chi2gof]: perform a chi-square goodness-of-fit test.
- [`chi2test( x[, opts] )`][@stdlib/stats/chi2test]: perform a chi-square independence test.
- [`flignerTest( a[,b,...,k][, opts] )`][@stdlib/stats/fligner-test]: compute the Fligner-Killeen test for equal variances.
- [`kruskalTest( a[,b,...,k][, opts] )`][@stdlib/stats/kruskal-test]: compute the Kruskal-Wallis test for equal medians.
- [`kstest( x, y[, ...params][, opts] )`][@stdlib/stats/kstest]: one-sample Kolmogorov-Smirnov goodness-of-fit test.
- [`leveneTest( x[, y, ..., z][, opts] )`][@stdlib/stats/levene-test]: compute Levene's test for equal variances.
- [`pcorrtest( x, y[, opts] )`][@stdlib/stats/pcorrtest]: compute a Pearson product-moment correlation test between paired samples.
- [`ttest( x[, y][, opts] )`][@stdlib/stats/ttest]: one-sample and paired Student's t-Test.
- [`ttest2( x, y[, opts] )`][@stdlib/stats/ttest2]: two-sample Student's t-Test.
- [`vartest( x, y[, opts] )`][@stdlib/stats/vartest]: two-sample F-test for equal variances.
- [`wilcoxon( x[, y][, opts] )`][@stdlib/stats/wilcoxon]: one-sample and paired Wilcoxon signed rank test.
- [`ztest( x, sigma[, opts] )`][@stdlib/stats/ztest]: one-sample z-Test.
- [`ztest2( x, y, sigmax, sigmay[, opts] )`][@stdlib/stats/ztest2]: two-sample z-Test.
In addition, it contains an assortment of functions for computing statistics incrementally as part of the `incr` sub-namespace and functions for computing statistics over iterators in the `iterators` namespace.
- [`incr`][@stdlib/stats/incr]: standard library functions for computing statistics incrementally.
- [`iterators`][@stdlib/stats/iter]: standard library functions for computing statistics over iterators.
The `base` sub-namespace contains functions to calculate statistics alongside a `dists` namespace containing functions related to a wide assortment of probability distributions.
Other statistical functions included are:
- [`kde2d()`][@stdlib/stats/kde2d]: two-dimensional kernel density estimation.
- [`lowess( x, y[, opts] )`][@stdlib/stats/lowess]: locally-weighted polynomial regression via the LOWESS algorithm.
- [`padjust( pvals, method[, comparisons] )`][@stdlib/stats/padjust]: adjust supplied p-values for multiple comparisons.
- [`ranks( arr[, opts] )`][@stdlib/stats/ranks]: compute ranks for values of an array-like object.