gov.sandia.cognition.statistics.method
Interface MultipleHypothesisComparison.Statistic

All Superinterfaces:
Cloneable, CloneableSerializable, Serializable
All Known Implementing Classes:
AbstractMultipleHypothesisComparison.Statistic, AbstractPairwiseMultipleHypothesisComparison.Statistic, AdjustedPValueStatistic, HolmCorrection.Statistic, MultipleComparisonExperiment.Statistic, NemenyiConfidence.Statistic, ShafferStaticCorrection.Statistic, TukeyKramerConfidence.Statistic
Enclosing interface:
MultipleHypothesisComparison<TreatmentData>

public static interface MultipleHypothesisComparison.Statistic
extends CloneableSerializable

Statistic associated with the multiple hypothesis comparison


Method Summary
 boolean acceptNullHypothesis(int i, int j)
          Determines if the (i,j) null hypothesis should be accepted (true) or rejected (false) .
 double getNullHypothesisProbability(int i, int j)
          Gets the Null Hypothesis probability associated with the (i,j) treatment comparison
 double getTestStatistic(int i, int j)
          Gets the test statistic associated with the (i,j) treatment comparison
 int getTreatmentCount()
          Gets the number of treatments being compared
 double getUncompensatedAlpha()
          Gets the uncompensated alpha (p-value threshold) for the multiple comparison test
 
Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable
clone
 

Method Detail

getTreatmentCount

int getTreatmentCount()
Gets the number of treatments being compared

Returns:
Number of treatments being compared

getUncompensatedAlpha

double getUncompensatedAlpha()
Gets the uncompensated alpha (p-value threshold) for the multiple comparison test

Returns:
Uncompensated alpha (p-value threshold) for the multiple comparison test

getTestStatistic

double getTestStatistic(int i,
                        int j)
Gets the test statistic associated with the (i,j) treatment comparison

Parameters:
i - First treatment index
j - Second treatment index
Returns:
Test statistic associated with the (i,j) treatment comparison

getNullHypothesisProbability

double getNullHypothesisProbability(int i,
                                    int j)
Gets the Null Hypothesis probability associated with the (i,j) treatment comparison

Parameters:
i - First treatment index
j - Second treatment index
Returns:
Null Hypothesis probability associated with the (i,j) treatment comparison

acceptNullHypothesis

boolean acceptNullHypothesis(int i,
                             int j)
Determines if the (i,j) null hypothesis should be accepted (true) or rejected (false) . Rejecting a null hypothesis typically means that there is a significant difference between the (i,j) treatment.

Parameters:
i - First treatment index
j - Second treatment index
Returns:
True if we accept the null hypothesis, false if we reject the null hypothesis