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| |
| <document> |
| |
| <properties> |
| <title>Apache Commons Statistics</title> |
| </properties> |
| |
| <body> |
| |
| <section name="Apache Commons Statistics" href="summary"> |
| <p> |
| Apache Commons Statistics provides utilities for statistical applications. |
| </p> |
| |
| <p> |
| Support is provided for commonly used continuous and discrete distributions, |
| for example: |
| </p> |
| |
| <source class="prettyprint"> |
| TDistribution t = TDistribution.of(29); |
| double lowerTail = t.cumulativeProbability(-2.656); // P(T(29) <= -2.656) |
| double upperTail = t.survivalProbability(2.75); // P(T(29) > 2.75) |
| |
| PoissonDistribution p = PoissonDistribution.of(4.56); |
| int x = p.inverseCumulativeProbability(0.99); |
| </source> |
| |
| <p> |
| Hypothesis testing can be performed for various statistical tests, for example: |
| </p> |
| |
| <source class="prettyprint"> |
| double[] math = {53, 69, 65, 65, 67, 79, 86, 65, 62, 69}; // mean = 68.0 |
| double[] science = {75, 65, 68, 63, 55, 65, 73, 45, 51, 52}; // mean = 61.2 |
| |
| SignificanceResult result = TTest.withDefaults() |
| .with(AlternativeHypothesis.GREATER_THAN) |
| .pairedTest(math, science); |
| result.getPValue(); // 0.05764 |
| result.reject(0.05); // false |
| </source> |
| |
| <p> |
| For more examples and advanced usage, see the <a href="userguide/index.html">userguide</a>. |
| </p> |
| |
| </section> |
| |
| <section name="Download Apache Commons Statistics"> |
| <subsection name="Releases"> |
| <p> |
| Download the |
| <a href="https://commons.apache.org/statistics/download_statistics.cgi"> |
| latest release</a> of Apache Commons Statistics. |
| </p> |
| </subsection> |
| </section> |
| |
| </body> |
| |
| </document> |
