## gov.sandia.cognition.statistics.method Interface ConfidenceStatistic

All Superinterfaces:
Cloneable, CloneableSerializable, 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 ConfidenceStatisticextends CloneableSerializable`

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

Since:
2.0
Author:
Kevin R. Dixon

Method Summary
` 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.