> ## Documentation Index
> Fetch the complete documentation index at: https://kstats.oremif.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> kstats is a Kotlin Multiplatform statistics library covering descriptive stats, distributions, hypothesis tests, correlation, and sampling.

kstats is a Kotlin Multiplatform statistics library. It covers descriptive statistics, probability distributions, hypothesis testing, correlation and regression, and sampling — everything needed for quantitative analysis in Kotlin.

```kotlin theme={"system"}
val sample = doubleArrayOf(2.0, 4.0, 4.0, 5.0, 7.0, 9.0)

val summary = sample.describe()
summary.mean              // 5.1667
summary.standardDeviation // 2.4833

val normality = shapiroWilkTest(sample)
normality.pValue          // 0.8933

val fitted = NormalDistribution(mu = summary.mean, sigma = summary.standardDeviation)
fitted.cdf(6.0)           // 0.6335
```

## Modules

<CardGroup cols={2}>
  <Card title="Descriptive Statistics" icon="chart-column" href="/core/overview">
    Mean, median, variance, quantiles, moments, frequency tables, streaming stats, and `describe()` summaries.
  </Card>

  <Card title="Probability Distributions" icon="activity" href="/distributions/overview">
    18 continuous and 10 discrete distributions with a shared API: pdf/pmf, cdf, quantile, and sampling.
  </Card>

  <Card title="Hypothesis Tests" icon="flask-conical" href="/hypothesis/overview">
    t-tests, ANOVA, chi-squared, Fisher exact, Mann-Whitney, Wilcoxon, Shapiro-Wilk, and more.
  </Card>

  <Card title="Correlation & Regression" icon="git-compare-arrows" href="/correlation/overview">
    Pearson, Spearman, Kendall tau, partial correlation, matrices, and simple linear regression.
  </Card>

  <Card title="Sampling & Transformation" icon="shuffle" href="/sampling/overview">
    Ranking, z-score normalization, min-max scaling, binning, bootstrap, and weighted sampling.
  </Card>
</CardGroup>

## Supported Targets

| Platform       | Targets                                                                            |
| -------------- | ---------------------------------------------------------------------------------- |
| JVM            | `jvm`                                                                              |
| Android        | `android`                                                                          |
| Android Native | `androidNativeArm32`, `androidNativeArm64`, `androidNativeX86`, `androidNativeX64` |
| iOS            | `iosX64`, `iosArm64`, `iosSimulatorArm64`                                          |
| macOS          | `macosArm64`                                                                       |
| Linux          | `linuxArm64`, `linuxX64`                                                           |
| Windows        | `mingwX64`                                                                         |
| watchOS        | `watchosArm32`, `watchosArm64`, `watchosDeviceArm64`, `watchosSimulatorArm64`      |
| tvOS           | `tvosArm64`, `tvosSimulatorArm64`                                                  |
| JS             | `js` (browser, Node.js)                                                            |
| Wasm           | `wasmJs`, `wasmWasi`                                                               |

## Next Steps

<CardGroup cols={3}>
  <Card title="Installation" icon="package" href="/getting-started/installation">
    Add the BOM or a single module to a Gradle KTS project.
  </Card>

  <Card title="Quick Start" icon="play" href="/getting-started/quickstart">
    Run a summary, fit a distribution, and execute a hypothesis test.
  </Card>

  <Card title="A/B Testing" icon="git-compare-arrows" href="/guides/how-to/ab-testing">
    Walk through a complete A/B test with assumption checks and group comparison.
  </Card>
</CardGroup>