TwoSampleUnpairedUnequalTTest Class

Class TwoSampleUnpairedUnequalTTest tests the null hypothesis that the two population means corresponding to two random samples are equal.

Inheritance Hierarchy

SystemObject
CenterSpace.NMath.CoreTwoSampleUnpairedUnequalTTest

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

C++

Copy

[SerializableAttribute]
public class TwoSampleUnpairedUnequalTTest : ICloneable

<SerializableAttribute>
Public Class TwoSampleUnpairedUnequalTTest
	Implements ICloneable

[SerializableAttribute]
public ref class TwoSampleUnpairedUnequalTTest : ICloneable

[<SerializableAttribute>]
type TwoSampleUnpairedUnequalTTest = 
    class
        interface ICloneable
    end

The TwoSampleUnpairedUnequalTTest type exposes the following members.

Constructors

	Name	Description
	TwoSampleUnpairedUnequalTTest	Default constructor. Constructs a TwoSampleUnpairedUnequalTTest instance with default sample parameters, alpha level, and hypothesis type.
	TwoSampleUnpairedUnequalTTest(Double, Double)	Constructs a TwoSampleUnpairedUnequalTTest instance using the given arrays of sample data.
	TwoSampleUnpairedUnequalTTest(DoubleVector, DoubleVector)	Constructs a TwoSampleUnpairedUnequalTTest instance using the given vectors of sample data.
	TwoSampleUnpairedUnequalTTest(IDFColumn, IDFColumn)	Constructs a TwoSampleUnpairedUnequalTTest instance using the given columns of sample data.
	TwoSampleUnpairedUnequalTTest(Int32, Int32)	Constructs a TwoSampleUnpairedUnequalTTest instance using the given arrays of sample data.
	TwoSampleUnpairedUnequalTTest(Double, Double, Double, HypothesisType)	Constructs a TwoSampleUnpairedUnequalTTest instance using the given arrays of sample data, and the given hypothesis parameters.
	TwoSampleUnpairedUnequalTTest(DoubleVector, DoubleVector, Double, HypothesisType)	Constructs a TwoSampleUnpairedUnequalTTest instance using the given vectors of sample data, and the given hypothesis parameters.
	TwoSampleUnpairedUnequalTTest(IDFColumn, IDFColumn, Double, HypothesisType)	Constructs a TwoSampleUnpairedUnequalTTest instance using the given columns of sample data, and the given hypothesis parameters.
	TwoSampleUnpairedUnequalTTest(Int32, Int32, Double, HypothesisType)	Constructs a TwoSampleUnpairedUnequalTTest instance using the given arrays of sample data, and the given hypothesis parameters.
	TwoSampleUnpairedUnequalTTest(Double, Double, Int32, Double, Double, Int32)	Constructs a TwoSampleUnpairedUnequalTTest instance with the given sample parameters.
	TwoSampleUnpairedUnequalTTest(Double, Double, Int32, Double, Double, Int32, Double, HypothesisType)	Constructs a TwoSampleUnpairedUnequalTTest instance with the given sample and and hypothesis parameters.

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Properties

	Name	Description
	Alpha	Gets and sets the alpha level associated with this hypothesis test.
	DefaultAlpha	Gets and sets the default alpha level associated with TwoSampleUnpairedUnequalTTests.
	DefaultType	Gets and sets the default form of the alternative hypothesis associated with TwoSampleUnpairedUnequalTTests.
	DegreesOfFreedom	Gets the degrees of freedom.
	Distribution	Gets the distribution of the test statistic associated with this hypothesis test.
	LeftCriticalValue	Gets the left critical value based on the current probability distribution and alpha level associated with this hypothesis test.
	LeftProbability	Gets the area under the probability distribution to the left of the test statistic.
	LowerConfidenceLimit	Gets the 1 - alpha lower confidence limit for the true mean.
	N1	Gets the size of the first sample.
	N2	Gets the size of the second sample.
	P	Gets the p-value associated with the test statistic.
	Reject	Tests whether the null hypothesis can be rejected, using the current hypothesis type and alpha level.
	RightCriticalValue	Gets the right critical value based on the current probability distribution and alpha level associated with this hypothesis test.
	RightProbability	Gets the area under the probability distribution to the right of the test statistic.
	S1	Gets the standard deviation of the first sample.
	S2	Gets the standard deviation of the second sample.
	SEM	Gets the standard error of the mean.
	Statistic	Gets the value of the test statistic associated with this hypothesis test.
	Type	Gets and sets the form of the alternative hypothesis associated with this hypothesis test.
	UpperConfidenceLimit	Gets the 1 - alpha upper confidence limit for the true mean.
	Xbar1	Gets the mean of the first sample.
	Xbar2	Gets the mean of the second sample.

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Methods

	Name	Description
	Clone	Creates a deep copy of this TwoSampleUnpairedUnequalTTest.
	ToString	Returns a formatted string representation of the test results. (Overrides ObjectToString)
	Update(Double, Double)	Updates the test statistic with new sample data.
	Update(DoubleVector, DoubleVector)	Updates the test statistic with new sample data.
	Update(IDFColumn, IDFColumn)	Updates the test statistic with new sample data.
	Update(Int32, Int32)	Updates the test statistic with new sample data.
	Update(Double, Double, Int32, Double, Double, Int32)	Updates the test statistic with new sample parameters.

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Remarks

The two samples are assumed to be independent of each other. (For dependent, or paired, samples, see class TwoSamplePairedTTest.) The samples may come from populations with unequal variances, and the Welch-Satterthwaite approximation to the degrees of freedom is used. Unlike TwoSampleUnpairedTTest, a pooled estimate of the variance is not used.

Reference

CenterSpace.NMath.Core Namespace