## Uses of Interface
org.apache.commons.math3.stat.descriptive.StatisticalSummary

- Packages that use StatisticalSummary
  Package | Description
  --- | ---
  org.apache.commons.math3.random | Random number and random data generators.
  org.apache.commons.math3.stat.descriptive | Generic univariate summary statistic objects.
  org.apache.commons.math3.stat.inference | Classes providing hypothesis testing.

- - ### Uses of StatisticalSummary in org.apache.commons.math3.random

    Methods in org.apache.commons.math3.random that return StatisticalSummary
    Modifier and Type | Method and Description
    --- | ---
    `StatisticalSummary` | EmpiricalDistribution.`getSampleStats()` Returns a `StatisticalSummary` describing this distribution.

  - ### Uses of StatisticalSummary in org.apache.commons.math3.stat.descriptive

    Classes in org.apache.commons.math3.stat.descriptive that implement StatisticalSummary
    Modifier and Type | Class and Description
    --- | ---
    `class` | `AggregateSummaryStatistics` An aggregator for `SummaryStatistics` from several data sets or data set partitions.
    `class` | `DescriptiveStatistics` Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
    `class` | `StatisticalSummaryValues` Value object representing the results of a univariate statistical summary.
    `class` | `SummaryStatistics` Computes summary statistics for a stream of data values added using the `addValue` method.
    `class` | `SynchronizedDescriptiveStatistics` Implementation of `DescriptiveStatistics` that is safe to use in a multithreaded environment.
    `class` | `SynchronizedSummaryStatistics` Implementation of `SummaryStatistics` that is safe to use in a multithreaded environment.

    Methods in org.apache.commons.math3.stat.descriptive that return StatisticalSummary
    Modifier and Type | Method and Description
    --- | ---
    `StatisticalSummary` | SummaryStatistics.`getSummary()` Return a `StatisticalSummaryValues` instance reporting current statistics.
    `StatisticalSummary` | SynchronizedSummaryStatistics.`getSummary()` Return a `StatisticalSummaryValues` instance reporting current statistics.
    `StatisticalSummary` | AggregateSummaryStatistics.`getSummary()` Return a `StatisticalSummaryValues` instance reporting current aggregate statistics.

  - ### Uses of StatisticalSummary in org.apache.commons.math3.stat.inference

    Methods in org.apache.commons.math3.stat.inference with parameters of type StatisticalSummary
    Modifier and Type | Method and Description
    --- | ---
    `double` | TTest.`homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)` Computes a 2-sample t statistic, comparing the means of the datasets described by two `StatisticalSummary` instances, under the assumption of equal subpopulation variances.
    `static double` | TestUtils.`homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)`
    `double` | TTest.`homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)` Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
    `static double` | TestUtils.`homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)`
    `double` | TTest.`t(double mu, StatisticalSummary sampleStats)` Computes a t statistic to use in comparing the mean of the dataset described by `sampleStats` to `mu`.
    `static double` | TestUtils.`t(double mu, StatisticalSummary sampleStats)`
    `double` | TTest.`t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)` Computes a 2-sample t statistic , comparing the means of the datasets described by two `StatisticalSummary` instances, without the assumption of equal subpopulation variances.
    `static double` | TestUtils.`t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)`
    `double` | TTest.`tTest(double mu, StatisticalSummary sampleStats)` Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by `sampleStats` with the constant `mu`.
    `static double` | TestUtils.`tTest(double mu, StatisticalSummary sampleStats)`
    `boolean` | TTest.`tTest(double mu, StatisticalSummary sampleStats, double alpha)` Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by `stats` is drawn equals `mu`.
    `static boolean` | TestUtils.`tTest(double mu, StatisticalSummary sampleStats, double alpha)`
    `double` | TTest.`tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)` Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
    `static double` | TestUtils.`tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)`
    `boolean` | TTest.`tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)` Performs a two-sided t-test evaluating the null hypothesis that `sampleStats1` and `sampleStats2` describe datasets drawn from populations with the same mean, with significance level `alpha`.
    `static boolean` | TestUtils.`tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)`

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