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

Packages that use StatisticalSummary
org.apache.commons.math.random | Random number and random data generators.
org.apache.commons.math.stat.descriptive | Generic univariate summary statistic objects.
org.apache.commons.math.stat.inference | Classes providing hypothesis testing and confidence interval construction.

Uses of StatisticalSummary in org.apache.commons.math.random

Methods in org.apache.commons.math.random that return StatisticalSummary
`StatisticalSummary` | `EmpiricalDistributionImpl.getSampleStats()` Returns a `StatisticalSummary` describing this distribution.
`StatisticalSummary` | `EmpiricalDistribution.getSampleStats()` Returns a `StatisticalSummary` describing this distribution.

Uses of StatisticalSummary in org.apache.commons.math.stat.descriptive

Classes in org.apache.commons.math.stat.descriptive that implement StatisticalSummary
`class` | `DescriptiveStatistics` Abstract factory class for univariate statistical summaries.
`class` | `DescriptiveStatisticsImpl` Default implementation of `DescriptiveStatistics`.
`class` | `StatisticalSummaryValues` Value object representing the results of a univariate statistical summary.
`class` | `SummaryStatistics` Abstract factory class for univariate statistical summaries.
`class` | `SummaryStatisticsImpl` Provides a default `SummaryStatistics` implementation.

Methods in org.apache.commons.math.stat.descriptive that return StatisticalSummary
`StatisticalSummary` | `SummaryStatistics.getSummary()` Return a `StatisticalSummaryValues` instance reporting current statistics.

Uses of StatisticalSummary in org.apache.commons.math.stat.inference

Methods in org.apache.commons.math.stat.inference with parameters of type StatisticalSummary
`double` | `TTestImpl.t(double mu, StatisticalSummary sampleStats)` Computes a t statistic to use in comparing the mean of the dataset described by `sampleStats` to `mu`.
`double` | `TTestImpl.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.
`double` | `TTestImpl.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.
`double` | `TTestImpl.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`.
`boolean` | `TTestImpl.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`.
`double` | `TTestImpl.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.
`double` | `TTestImpl.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.
`boolean` | `TTestImpl.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`.
`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`.
`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.
`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.
`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`.
`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`.
`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.
`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.
`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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