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• Extreme.Statistics.Tests
  • AndersonDarlingDistribution Class
  • AndersonDarlingTest Class
  • AnovaPostHocTest Class
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  • ChiSquareGoodnessOfFitTest Class
  • Exactness Enumeration
  • FTest Class
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  • HypothesisTest Class
  • HypothesisType Enumeration
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  • LeveneTest Class
  • LeveneTestLocationMeasure Enumeration
  • LjungBoxTest Class
  • MannWhitneyTest(T) Class
  • McNemarTest Class
  • MultiSampleTest(T) Class
  • OneSampleChiSquareTest Class
  • OneSampleKolmogorovSmirnovTest Class
  • OneSampleTest Class
  • OneSampleTest(T) Class
  • OneSampleTTest Class
  • OneSampleZTest Class
  • OneSampleZTestOfProportion Class
  • RunsTest(T) Class
  • SamplePairing Enumeration
  • ShapiroWilkTest Class
  • SimpleHypothesisTest Class
  • StuartMaxwellTest Class
  • StudentizedRangeDistribution Class
  • TwoSampleKolmogorovSmirnovTest Class
  • TwoSampleTest Class
  • TwoSampleTest(T) Class
  • TwoSampleTTest Class
  • TwoSampleZTest Class
• OneSampleTest(T) Class
  • OneSampleTest(T) Constructors
  • Properties
  • Methods

OneSampleTestT Class

Extreme Optimization Numerical Libraries for .NET Professional

Inheritance Hierarchy

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SystemObject
  Extreme.Statistics.TestsHypothesisTest
    Extreme.Statistics.TestsOneSampleTestT
      Extreme.Statistics.TestsChiSquareGoodnessOfFitTest
      Extreme.Statistics.TestsOneSampleTest
      Extreme.Statistics.TestsRunsTestT
      Extreme.Statistics.TimeSeriesAnalysisAugmentedDickeyFullerTest

Namespace:  Extreme.Statistics.Tests
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1

Syntax

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C#

VB

C++

F#

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public abstract class OneSampleTest<T> : HypothesisTest

Public MustInherit Class OneSampleTest(Of T)
	Inherits HypothesisTest

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

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

Type Parameters

T

The type of the sample used for the test.

The OneSampleTestT type exposes the following members.

Constructors

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	Name	Description
	OneSampleTestT(HypothesisType)	Constructs a new OneSampleTest object.
	OneSampleTestT(VectorT, HypothesisType, Double, ContinuousDistribution)	Constructs a new OneSampleTest object.

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Properties

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	Name	Description
	Distribution	Gets the probability distribution used in the hypothesis test. (Inherited from HypothesisTest.)
	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 or sets the variable the test is to be applied to.
	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.)

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Methods

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	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 the default hash function. (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. (Overrides HypothesisTestSummarize(SummaryOptions).)
	ToString	Returns a string that represents the current object. (Inherited from HypothesisTest.)

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See Also

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Reference

Extreme.Statistics.Tests Namespace

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