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

Packages that use StatisticalSummary

Package	Description
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

Modifier and Type	Method	Description
StatisticalSummary	EmpiricalDistribution.getSampleStats()	Returns a StatisticalSummary describing this distribution.
StatisticalSummary	EmpiricalDistributionImpl.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

Modifier and Type	Class	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.math.stat.descriptive that return StatisticalSummary

Modifier and Type	Method	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.

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

Methods in org.apache.commons.math.stat.inference with parameters of type StatisticalSummary

Modifier and Type	Method	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.
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.
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.
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.
static double	TestUtils.t(double mu, StatisticalSummary sampleStats)
static double	TestUtils.t(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.
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	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.
static double	TestUtils.tTest(double mu, StatisticalSummary sampleStats)
static boolean	TestUtils.tTest(double mu, StatisticalSummary sampleStats, double alpha)
static double	TestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
static boolean	TestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)
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.
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.
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.
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.