gov.sandia.cognition.statistics.method

Interface ConfidenceStatistic

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, java.io.Serializable

All Known Implementing Classes:

AbstractConfidenceStatistic, AnalysisOfVarianceOneWay.Statistic, ChiSquareConfidence.Statistic, FisherSignConfidence.Statistic, FriedmanConfidence.Statistic, GaussianConfidence.Statistic, KolmogorovSmirnovConfidence.Statistic, LinearRegression.Statistic, MannWhitneyUConfidence.Statistic, MultipleComparisonExperiment.Statistic, ReceiverOperatingCharacteristic.Statistic, StudentTConfidence.Statistic, WilcoxonSignedRankConfidence.Statistic

public interface ConfidenceStatistic
extends CloneableSerializable

An interface that describes the result of a statistical confidence test.

Since:

2.0

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
double	getNullHypothesisProbability() Gets the probability that the null hypothesis is correct.
double	getTestStatistic() Gets the statistic from which we compute the null-hypothesis probability.

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

clone

Method Detail

getNullHypothesisProbability

double getNullHypothesisProbability()

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.

Returns:

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

getTestStatistic

double getTestStatistic()

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.

Returns:

Confidence statistic used to compute the null-hypothesis probability.