## Uses of Interfacegov.sandia.cognition.statistics.method.ConfidenceIntervalEvaluator

Packages that use ConfidenceIntervalEvaluator
gov.sandia.cognition.statistics.method Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Classes in gov.sandia.cognition.statistics.method that implement ConfidenceIntervalEvaluator
` class` `BernoulliConfidence`
Computes the Bernoulli confidence interval.
` class` `ChebyshevInequality`
Computes the Chebyshev Inequality for the given level of confidence.
` class` `GaussianConfidence`
This test is sometimes called the "Z test" Defines a range of values that the statistic can take, as well as the confidence that the statistic is between the lower and upper bounds.
` class` `MarkovInequality`
Implementation of the Markov Inequality hypothesis test.
` class` `StudentTConfidence`
This class implements Student's t-tests for different uses.

Methods in gov.sandia.cognition.statistics.method with parameters of type ConfidenceIntervalEvaluator
```static <DataType> ArrayList<FieldConfidenceInterval> ``` ```FieldConfidenceInterval.computeConfidenceInterval(Collection<DataType> data, ArrayList<Field> interestedFields, ConfidenceIntervalEvaluator<Collection<? extends Number>> confidenceIntervalEvaluator, double confidence)```
Computes a FieldConfidenceInterval for the given Fields in the given data
```static <DataType> ArrayList<FieldConfidenceInterval> ``` ```FieldConfidenceInterval.computeConfidenceInterval(Collection<DataType> data, ConfidenceIntervalEvaluator<Collection<? extends Number>> confidenceIntervalEvaluator, double confidence)```
Computes a FieldConfidenceInterval for each Double/double Field in the given data.