Java org.apache.commons.math3.stat.inference TTest fields, constructors, methods, implement or subclass

Example usage for Java org.apache.commons.math3.stat.inference TTest fields, constructors, methods, implement or subclass

Introduction

In this page you can find the methods, fields and constructors for org.apache.commons.math3.stat.inference TTest.

The text is from its open source code.

Constructor

Method

doublepairedT(final double[] sample1, final double[] sample2)
Computes a paired, 2-sample t-statistic based on the data in the input arrays.
doublepairedTTest(final double[] sample1, final double[] sample2)
Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
booleanpairedTTest(final double[] sample1, final double[] sample2, final double alpha)
Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
doublet(final double mu, final double[] observed)
Computes a t statistic given observed values and a comparison constant.
doublet(final double mu, final StatisticalSummary sampleStats)
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
doublet(final double[] sample1, final double[] sample2)
Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
doublet(final StatisticalSummary sampleStats1, final 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.