gov.sandia.cognition.statistics.method

Class MultipleComparisonExperiment.Statistic

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic

All Implemented Interfaces:

ConfidenceStatistic, MultipleHypothesisComparison.Statistic, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

MultipleComparisonExperiment

public static class MultipleComparisonExperiment.Statistic
extends AbstractCloneableSerializable
implements ConfidenceStatistic, MultipleHypothesisComparison.Statistic

Result of running the MultipleHypothesisComparison hypothesis test

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected ConfidenceStatistic	blockExperimentResult Result from the block-experiment null-hypothesis test
protected MultipleHypothesisComparison.Statistic	multipleComparisonResult Result from the multiple hypothesis comparison null-hypothesis test, which will exist if the block-experiment null hypothesis is rejected

Constructor Summary

Constructors

Constructor and Description
Statistic(ConfidenceStatistic blockExperimentResult, MultipleHypothesisComparison.Statistic multipleComparisonResult) Creates a new instance of Statistic

Method Summary

Modifier and Type	Method and Description
boolean	acceptNullHypothesis(int i, int j) Determines if the (i,j) null hypothesis should be accepted (true) or rejected (false) .
ConfidenceStatistic	getBlockExperimentResult() Getter for blockExperimentResult
MultipleHypothesisComparison.Statistic	getMultipleComparisonResult() Getter for multipleComparisonResult
double	getNullHypothesisProbability() Gets the probability that the null hypothesis is correct.
double	getNullHypothesisProbability(int i, int j) Gets the Null Hypothesis probability associated with the (i,j) treatment comparison
double	getTestStatistic() Gets the statistic from which we compute the null-hypothesis probability.
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
java.lang.String	toString()

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Field Detail

blockExperimentResult

protected ConfidenceStatistic blockExperimentResult

Result from the block-experiment null-hypothesis test

multipleComparisonResult

protected MultipleHypothesisComparison.Statistic multipleComparisonResult

Result from the multiple hypothesis comparison null-hypothesis test, which will exist if the block-experiment null hypothesis is rejected

Constructor Detail

Statistic

public Statistic(ConfidenceStatistic blockExperimentResult,
                 MultipleHypothesisComparison.Statistic multipleComparisonResult)

Creates a new instance of Statistic

Parameters:

blockExperimentResult - Result from the block-experiment null-hypothesis test

multipleComparisonResult - Result from the multiple hypothesis comparison null-hypothesis test, which will exist if the block-experiment null hypothesis is rejected

Method Detail

getTestStatistic

public double getTestStatistic()

Description copied from interface: ConfidenceStatistic

Gets the statistic from which we compute the null-hypothesis probability. In an ANOVA, this would be the "F" statistic. In a t-test, this would be the "t" value. And so forth.

Specified by:

getTestStatistic in interface ConfidenceStatistic

Returns:

Confidence statistic used to compute the null-hypothesis probability.

getTreatmentCount

public int getTreatmentCount()

Description copied from interface: MultipleHypothesisComparison.Statistic

Gets the number of treatments being compared

Specified by:

getTreatmentCount in interface MultipleHypothesisComparison.Statistic

Returns:

Number of treatments being compared

getUncompensatedAlpha

public double getUncompensatedAlpha()

Description copied from interface: MultipleHypothesisComparison.Statistic

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

Specified by:

getUncompensatedAlpha in interface MultipleHypothesisComparison.Statistic

Returns:

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

getTestStatistic

public double getTestStatistic(int i,
                               int j)

Description copied from interface: MultipleHypothesisComparison.Statistic

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

Specified by:

getTestStatistic in interface MultipleHypothesisComparison.Statistic

Parameters:

i - First treatment index

j - Second treatment index

Returns:

Test statistic associated with the (i,j) treatment comparison

getNullHypothesisProbability

public double getNullHypothesisProbability(int i,
                                           int j)

Description copied from interface: MultipleHypothesisComparison.Statistic

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

Specified by:

getNullHypothesisProbability in interface MultipleHypothesisComparison.Statistic

Parameters:

i - First treatment index

j - Second treatment index

Returns:

Null Hypothesis probability associated with the (i,j) treatment comparison

acceptNullHypothesis

public boolean acceptNullHypothesis(int i,
                                    int j)

Description copied from interface: MultipleHypothesisComparison.Statistic

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.

Specified by:

acceptNullHypothesis in interface MultipleHypothesisComparison.Statistic

Parameters:

i - First treatment index

j - Second treatment index

Returns:

True if we accept the null hypothesis, false if we reject the null hypothesis

getNullHypothesisProbability

public double getNullHypothesisProbability()

Description copied from interface: ConfidenceStatistic

Gets the probability that the null hypothesis is correct. That is, the probability that two datasets were generated by the same distribution. Generally, social scientists try to demonstrate that NullHypothesisProbability less than 0.05 to show that distributions are different. This is often called the "p-value" of a significance test.

Specified by:

getNullHypothesisProbability in interface ConfidenceStatistic

Returns:

Probability of the null hypothesis, often called "p-value"

getBlockExperimentResult

public ConfidenceStatistic getBlockExperimentResult()

Getter for blockExperimentResult

Returns:

Result from the block-experiment null-hypothesis test

getMultipleComparisonResult

public MultipleHypothesisComparison.Statistic getMultipleComparisonResult()

Getter for multipleComparisonResult

Returns:

Result from the multiple hypothesis comparison null-hypothesis test, which will exist if the block-experiment null hypothesis is rejected

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object