public abstract class MultiSampleTest<T> : HypothesisTest

Public MustInherit Class MultiSampleTest(Of T)
	Inherits HypothesisTest

generic<typename T>
public ref class MultiSampleTest abstract : public HypothesisTest

[<AbstractClassAttribute>]
type MultiSampleTest<'T> =  
    class
        inherit HypothesisTest
    end

Type Parameters

T

The element type of the samples.

The MultiSampleTestT type exposes the following members.

	Name	Description
	MultiSampleTestT(HypothesisType)	Constructs a new MultiSampleTestT object.
	MultiSampleTestT(IDataFrame, HypothesisType, Double, ContinuousDistribution)	Constructs a new MultiSampleTestT object.
	MultiSampleTestT(IEnumerableVectorT, HypothesisType, Double, ContinuousDistribution)	Constructs a new MultiSampleTestT object.
	MultiSampleTestT(VectorT, IGrouping, HypothesisType, Double, ContinuousDistribution)	Constructs a new MultiSampleTestT object.

	Name	Description
	Distribution	Gets the probability distribution used in the hypothesis test. (Inherited from HypothesisTest.)
	Grouping	Gets the grouping that divides Sample into groups.
	HypothesisType	Gets or sets whether the test is one or two-tailed. (Inherited from HypothesisTest.)
	Name	Gets the name of the hypothesis test. (Inherited from HypothesisTest.)
	PValue	Gets the probability that the test statistic would take on the calculated value under the alternate hypothesis. (Inherited from HypothesisTest.)
	Sample	Gets the vector that contains the sample data.
	Samples	Gets the collection of samples for the test.
	SignificanceLevel	Gets the significance level used to test the null hypothesis. (Inherited from HypothesisTest.)
	Statistic	Gets the value of the test statistic. (Inherited from HypothesisTest.)

	Name	Description
	CalculateStatistic	Evaluates the test statistic. (Inherited from HypothesisTest.)
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetConfidenceInterval	Returns the confidence interval for the test parameter for the default confidence level. (Inherited from HypothesisTest.)
	GetConfidenceInterval(Double)	Returns the confidence interval for the test parameter for the specified confidence level. (Inherited from HypothesisTest.)
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetLowerCriticalValue	Gets the lower critical value for the hypothesis test's current significance level. (Inherited from HypothesisTest.)
	GetLowerCriticalValue(Double)	Gets the lower critical value for the hypothesis test at the specified significance level. (Inherited from HypothesisTest.)
	GetPValue	Gets the probability that the test statistic would take on the calculated value under the specified alternate hypothesis. (Inherited from HypothesisTest.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	GetUpperCriticalValue	Gets the upper critical value for the test statistic at the hypothesis test's current significance level. (Inherited from HypothesisTest.)
	GetUpperCriticalValue(Double)	Gets the upper critical value for the test statistic at the specified significance level. (Inherited from HypothesisTest.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Reject	Returns whether the null hypothesis is rejected using the default significance level. (Inherited from HypothesisTest.)
	Reject(Double)	Returns whether the null hypothesis is rejected using the specified significance level. (Inherited from HypothesisTest.)
	Summarize	Returns a string containing a human-readable summary of the object. (Inherited from HypothesisTest.)
	Summarize(SummaryOptions)	Returns a string containing a human-readable summary of the object using the specified options. (Inherited from HypothesisTest.)
	ToString	Returns a string that represents the current object. (Inherited from HypothesisTest.)

Use the MultiSampleTestT class as a base class for a statistical test based on multiple samples. This class adds the Samples property, which is of type IDataFrame, and can be used to retrieve, add, and remove the collection of samples.

This is an abstract base class and cannot be instantiated directly.

Note to inheritors: You must override CalculateStatistic. You must also set the Distribution property, either in the constructor or in your CalculateStatistic implementation. If applicable, you should override GetConfidenceInterval.

Numerical Libraries

Reference