Uses of Interface org.apache.commons.math3.stat.descriptive.StatisticalSummary (Apache Commons Math 3.6.1 API)

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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`	AggregateSummaryStatistics.`getSummary()` Return a `StatisticalSummaryValues` instance reporting current aggregate statistics.
`StatisticalSummary`	SummaryStatistics.`getSummary()` Return a `StatisticalSummaryValues` instance reporting current statistics.
`StatisticalSummary`	SynchronizedSummaryStatistics.`getSummary()` Return a `StatisticalSummaryValues` instance reporting current statistics.

Method parameters in org.apache.commons.math3.stat.descriptive with type arguments of type StatisticalSummary
Modifier and Type	Method and Description
`static StatisticalSummaryValues`	AggregateSummaryStatistics.`aggregate(Collection<? extends StatisticalSummary> statistics)` Computes aggregate summary 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
`static double`	TestUtils.`homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)`
`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.`homoscedasticTTest(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.`t(double mu, StatisticalSummary sampleStats)`
`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(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)`
`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.`tTest(double mu, StatisticalSummary sampleStats)`
`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 boolean`	TestUtils.`tTest(double mu, StatisticalSummary sampleStats, double alpha)`
`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 double`	TestUtils.`tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)`
`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 boolean`	TestUtils.`tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)`
`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`.

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