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in\n[`@danielsimonjr/mathts-functions`](https://www.npmjs.com/package/@danielsimonjr/mathts-functions)\nand are **re-exported here, not duplicated** — this package is a curated entry point over the\nstatistics/probability surface. Every function is **externally oracle-pinned** (SciPy / NumPy /\nmpmath / closed form) in the functions package's test suite, so the numbers are trustworthy, not\njust green.\n\n## Install\n\n```sh\nnpm install @danielsimonjr/mathts-statistics\n```\n\n## What's included\n\n- **Descriptive statistics** — `mean`, `median`, `mode`, `variance`, `std`, `quantileSeq`, `mad`,\n  `iqr`, `sem`, `zscore`, `moment`, `skewness`, `kurtosis`, `gmean`, `hmean`, `cov`, `corr`,\n  `corrcoef`, `rankdata`, and the three correlation coefficients `corr` (Pearson), `spearman`,\n  `kendallTau` (τ_b).\n- **Parallel-first reductions** — worker-pool-accelerated `parallelStat*` (`Mean`, `Variance`,\n  `Std`, `Median`, `Quantile`, `Histogram`, `Corr`, …) plus `quickSelect`/`medianSelect`.\n- **Probability distributions** — 14 distribution objects with\n  `.pdf/.cdf/.quantile/.mean/.variance/.sample` (`normalDist`, `gammaDist`, `betaDist`,\n  `binomialDist`, `poissonDist`, `exponentialDist`, `chiSquaredDist`, `fDist`, `tDist`,\n  `logNormalDist`, `uniformDist`, `weibullDist`, `hypergeometricDist`, `negativeBinomialDist`),\n  plus free CDF/quantile functions and the `entropy`/`jsDivergence` divergences.\n- **Hypothesis tests** — `studentTTest` (one/two-sample), `studentTTestPaired`, `anova`,\n  `chiSquareTest`, `kolmogorovSmirnovTest` (one-sample) + `kolmogorovSmirnov2Test` (two-sample),\n  `mannWhitneyTest`, `shapiroWilkTest`, `leveneTest`, `bartlettTest`, `proportionZTest`,\n  `binomialTest`, `fTest`, `jarqueBera`, `kruskalWallis`, `wilcoxon`, `fisherExact`, `tukeyHSD`,\n  `principalComponentAnalysis`.\n- **Probability & combinatorics** — `combinations`, `permutations`, `multinomial`, `factorial`,\n  `doubleFactorial`, `risingFactorial`, `fallingFactorial`, `subfactorial`, `bernoulli`, `gamma`,\n  `lgamma`, `kldivergence`, and seedable RNG (`random`, `randomInt`, `pickRandom`,\n  `seedProbabilityRng`).\n\n## Example\n\n```ts\nimport {\n  anova,\n  kendallTau,\n  hypergeometricDist,\n  kolmogorovSmirnov2Test,\n} from '@danielsimonjr/mathts-statistics';\n\nanova([\n  [8.1, 8.3, 7.9],\n  [9.1, 9.5, 8.9],\n]); // one-way ANOVA F + p\nkendallTau([1, 2, 3, 4, 5], [2, 1, 4, 3, 5]); // 0.6\nhypergeometricDist(50, 5, 10).pmf(1); // 0.4313371972\nkolmogorovSmirnov2Test([1, 2, 3], [2, 3, 4]); // { statistic, pValue }\n```\n\n## License\n\nMIT\n","readmeFilename":"README.md"}