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 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
 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 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.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.
 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.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.
 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.
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.
 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.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.
 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.
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.
 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.
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.
 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.
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.
 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.
static boolean TestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)
           
 



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