Uses of Class
org.apache.commons.math.stat.DescriptiveStatistics

Packages that use DescriptiveStatistics
org.apache.commons.math.random Random number and random data generators. 
org.apache.commons.math.stat Data storage, manipulation and summary routines. 
 

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

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

Uses of DescriptiveStatistics in org.apache.commons.math.stat
 

Subclasses of DescriptiveStatistics in org.apache.commons.math.stat
 class AbstractDescriptiveStatistics
          Provides univariate measures for an array of doubles.
 class AbstractStorelessDescriptiveStatistics
          Provides univariate measures for an array of doubles.
 class DescriptiveStatisticsImpl
           
 class StorelessDescriptiveStatisticsImpl
          Accumulates univariate statistics for values fed in through the addValue() method.
 

Methods in org.apache.commons.math.stat that return DescriptiveStatistics
static DescriptiveStatistics DescriptiveStatistics.newInstance(String cls)
          Create an instance of a DescriptiveStatistics
static DescriptiveStatistics DescriptiveStatistics.newInstance(Class cls)
          Create an instance of a DescriptiveStatistics
static DescriptiveStatistics DescriptiveStatistics.newInstance()
          Create an instance of a DescriptiveStatistics
 

Methods in org.apache.commons.math.stat with parameters of type DescriptiveStatistics
 double TestStatistic.t(double mu, DescriptiveStatistics sampleStats)
          Computes a t statistic to use in comparing the dataset described by sampleStats to mu.
 double TestStatistic.t(DescriptiveStatistics sampleStats1, DescriptiveStatistics sampleStats2)
          Computes a 2-sample t statistic , comparing the datasets described by two Univariates without the assumption of equal sample variances.
 double TestStatistic.tTest(DescriptiveStatistics sampleStats1, DescriptiveStatistics 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 Univariates.
 boolean TestStatistic.tTest(DescriptiveStatistics sampleStats1, DescriptiveStatistics 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 TestStatistic.tTest(double mu, DescriptiveStatistics 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 TestStatistic.tTest(double mu, DescriptiveStatistics 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 TestStatisticImpl.t(double mu, DescriptiveStatistics sampleStats)
           
 double TestStatisticImpl.t(DescriptiveStatistics sampleStats1, DescriptiveStatistics sampleStats2)
           
 double TestStatisticImpl.tTest(DescriptiveStatistics sampleStats1, DescriptiveStatistics sampleStats2)
           
 boolean TestStatisticImpl.tTest(DescriptiveStatistics sampleStats1, DescriptiveStatistics sampleStats2, double alpha)
           
 boolean TestStatisticImpl.tTest(double mu, DescriptiveStatistics sampleStats, double alpha)
           
 double TestStatisticImpl.tTest(double mu, DescriptiveStatistics sampleStats)
           
 



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