Java Statistical Classes

jsc.tests
Interface SignificanceTest

All Known Implementing Classes:
BootstrapTest, ChiSquaredFitTest, ChiSquaredTest, FishersExactTest, FisherSymmetryTest, FriedmanTest, JonckheereTest, KendallCorrelation, KolmogorovTypeTest, KruskalWallisTest, LinearCorrelation, MannWhitneyTest, McNemarTest, OneWayANOVA, PageTest, PermutationTest, PitmanTwoSampleTest, ResampleTest, SignTest, SmirnovTest, SpearmanCorrelation, Ttest, TwoSampleTtest, TwoWayANOVA, WilcoxonTest, Ztest

public interface SignificanceTest

Defines the interface for significance tests.

A significance test requires a null hypothesis (usually regarding some parameter of one or more population distributions), and calculation of a test statistic from one or more samples of data. The test statistic corresponds to a significance probability (SP) that measures the extent to which the data support the null hypothesis. The greater the SP, the more the data support the null hypothesis.

Version:
1.0
Author:
A. J. Bertie.

Method Summary
 double getSP()
          Returns the value of the significance probability.
 double getTestStatistic()
          Returns the value of the test statistic.
 

Method Detail

getSP

public double getSP()
Returns the value of the significance probability.

Returns:
the value of the significance probability.

getTestStatistic

public double getTestStatistic()
Returns the value of the test statistic.

Returns:
the test statistic.

Java Statistical Classes

Copyright © Andrew James Bertie, 2005, all rights reserved. Updated 12th Aug 2005