gov.sandia.cognition.statistics.method
Interface NullHypothesisEvaluator<DataType>
- Type Parameters:
DataType
- The type of data to evaluate the null hypothesis for.
- All Superinterfaces:
- Cloneable, CloneableSerializable, Serializable
- All Known Subinterfaces:
- BlockExperimentComparison<DataType>
- All Known Implementing Classes:
- AnalysisOfVarianceOneWay, ChiSquareConfidence, FisherSignConfidence, FriedmanConfidence, GaussianConfidence, KolmogorovSmirnovConfidence, MannWhitneyUConfidence, MultipleComparisonExperiment, StudentTConfidence, WilcoxonSignedRankConfidence
public interface NullHypothesisEvaluator<DataType>
- extends CloneableSerializable
Evaluates the probability that the null-hypothesis is correct. The null
hypothesis is generally taken to be something like "two observed datasets
were generated by the same underlying distribution." In this case,
rejecting the null hypothesis is equivalent to saying that two datasets were
NOT generated by the same distribution. That is, with high confidence, we
can be sure that the two observed datasets a statistically significantly
different. Social scientists usually reject the null hypothesis when
NullHypothesisProbability less than 0.05.
- Since:
- 2.0
- Author:
- Kevin R. Dixon
evaluateNullHypothesis
ConfidenceStatistic evaluateNullHypothesis(DataType data1,
DataType data2)
- Computes the probability that two data were generated by
the same distribution. NullHypothesisProbability=1 means that the
distributions are likely the same, NullHypothesisProbability=0 means they
are likely NOT the same, and NullHypothesisProbability less than 0.05
is the standard statistical significance test. This is the "p-value"
that social scientists like to use.
- Parameters:
data1
- First dataset to considerdata2
- Second dataset to consider
- Returns:
- Probability that the two data were generated by
the same source. A value of NullHypothesisProbability less than 0.05
is the standard point at which social scientists say two distributions
were generated by different sources.