OneSampleTTest Class

Class OneSampleTTest compares a single sample mean to an expected mean from a normal distribution with an unknown standard deviation.

Inheritance Hierarchy

SystemObject
CenterSpace.NMath.CoreOneSampleTTest

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.3

Syntax

C++

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[SerializableAttribute]
public class OneSampleTTest : ICloneable

<SerializableAttribute>
Public Class OneSampleTTest
	Implements ICloneable

[SerializableAttribute]
public ref class OneSampleTTest : ICloneable

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

The OneSampleTTest type exposes the following members.

Constructors

	Name	Description
	OneSampleTTest	Default constructor. Constructs a OneSampleTTest instance with default sample parameters, population mean, alpha level, and hypothesis type.
	OneSampleTTest(Double, Double)	Constructs a OneSampleTTest instance using the given array of sample data, and the given population mean.
	OneSampleTTest(Int32, Double)	Constructs a OneSampleTTest instance using the given array of sample data, and the given population mean.
	OneSampleTTest(DoubleVector, Double)	Constructs a OneSampleTTest instance using the given vector of sample data, and the given population mean.
	OneSampleTTest(IDFColumn, Double)	Constructs a OneSampleTTest instance using the given column of sample data, and the given population mean.
	OneSampleTTest(Double, Double, Int32, Double)	Constructs a OneSampleTTest instance with the given sample and population parameters.
	OneSampleTTest(Double, Double, Double, HypothesisType)	Constructs a OneSampleTTest instance using the given array of sample data, and the given population and hypothesis parameters.
	OneSampleTTest(Int32, Double, Double, HypothesisType)	Constructs a OneSampleTTest instance using the given array of sample data, and the given population and hypothesis parameters.
	OneSampleTTest(DoubleVector, Double, Double, HypothesisType)	Constructs a OneSampleTTest instance using the given vector of sample data, and the given population and hypothesis parameters.
	OneSampleTTest(IDFColumn, Double, Double, HypothesisType)	Constructs a OneSampleTTest instance using the given vector of sample data, and the given population and hypothesis parameters.
	OneSampleTTest(Double, Double, Int32, Double, Double, HypothesisType)	Constructs a OneSampleTTest instance with the given sample, population, 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 OneSampleTTests.
	DefaultType	Gets and sets the default form of the alternative hypothesis associated with OneSampleTTests.
	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.
	Mu0	Gets the population mean.
	N	Gets the sample size.
	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.
	S	Gets the sample standard deviation.
	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.
	Xbar	Gets the sample mean.

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Methods

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

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Reference

CenterSpace.NMath.Core Namespace