Extreme Optimization™: Complexity made simple.

Math and Statistics
Libraries for .NET

  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Blog
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Partners
    • Contact us
Introduction
Deployment Guide
Configuration
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Data Analysis Library User's GuideData Analysis Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand Data Access Library User's GuideData Access Library User's Guide
Expand ReferenceReference
  • Extreme Optimization
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Configuration
    • Using Parallelism
    • Mathematics Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Data Access Library User's Guide
    • Reference
  • Reference
    • Extreme
    • Extreme.Collections
    • Extreme.Data
    • Extreme.Data.Json
    • Extreme.Data.Matlab
    • Extreme.Data.R
    • Extreme.Data.Stata
    • Extreme.Data.Text
    • Extreme.DataAnalysis
    • Extreme.DataAnalysis.Linq
    • Extreme.Mathematics
    • Extreme.Mathematics.Algorithms
    • Extreme.Mathematics.Calculus
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
    • Extreme.Mathematics.Curves
    • Extreme.Mathematics.Curves.Nonlinear
    • Extreme.Mathematics.Distributed
    • Extreme.Mathematics.Distributed.Cuda
    • Extreme.Mathematics.EquationSolvers
    • Extreme.Mathematics.FSharp
    • Extreme.Mathematics.Generic
    • Extreme.Mathematics.Generic.LinearAlgebra
    • Extreme.Mathematics.Generic.LinearAlgebra.Implementation
    • Extreme.Mathematics.Generic.LinearAlgebra.Providers
    • Extreme.Mathematics.Generic.SignalProcessing
    • Extreme.Mathematics.Implementation
    • Extreme.Mathematics.LinearAlgebra
    • Extreme.Mathematics.LinearAlgebra.Complex
    • Extreme.Mathematics.LinearAlgebra.Complex.Decompositions
    • Extreme.Mathematics.LinearAlgebra.Implementation
    • Extreme.Mathematics.LinearAlgebra.IO
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
    • Extreme.Mathematics.LinearAlgebra.Providers
    • Extreme.Mathematics.LinearAlgebra.Sparse
    • Extreme.Mathematics.Optimization
    • Extreme.Mathematics.Optimization.Genetic
    • Extreme.Mathematics.Optimization.LineSearches
    • Extreme.Mathematics.Random
    • Extreme.Mathematics.SignalProcessing
    • Extreme.Numerics.FSharp
    • Extreme.Statistics
    • Extreme.Statistics.Distributions
    • Extreme.Statistics.IO
    • Extreme.Statistics.Linq
    • Extreme.Statistics.Multivariate
    • Extreme.Statistics.Random
    • Extreme.Statistics.Tests
    • Extreme.Statistics.TimeSeriesAnalysis
  • Extreme.Statistics.Tests
    • AndersonDarlingDistribution Class
    • AndersonDarlingTest Class
    • AnovaPostHocTest Class
    • BartlettTest Class
    • ChiSquareGoodnessOfFitTest Class
    • Exactness Enumeration
    • FTest Class
    • GeneralizedEsdTest Class
    • GrubbsTest Class
    • HypothesisTest Class
    • HypothesisType Enumeration
    • KruskalWallisTest Class
    • LeveneTest Class
    • LeveneTestLocationMeasure Enumeration
    • LjungBoxTest Class
    • MannWhitneyTest Class
    • MannWhitneyTest(T) Class
    • McNemarTest Class
    • MultiSampleTest Class
    • MultiSampleTest(T) Class
    • OneSampleChiSquareTest Class
    • OneSampleKolmogorovSmirnovTest Class
    • OneSampleTest Class
    • OneSampleTest(T) Class
    • OneSampleTTest Class
    • OneSampleZTest Class
    • OneSampleZTestOfProportion Class
    • RunsTest 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
    • VarianceAssumption Enumeration
  • SimpleHypothesisTest Class
    • SimpleHypothesisTest Constructors
    • Properties
    • Methods
  • SimpleHypothesisTest Constructors
    • SimpleHypothesisTest Constructor (Double, ContinuousDistribution)
    • SimpleHypothesisTest Constructor (Double, ContinuousDistribution, HypothesisType)
    • SimpleHypothesisTest Constructor (String, Double, ContinuousDistribution)
    • SimpleHypothesisTest Constructor (String, Double, ContinuousDistribution, HypothesisType)
  • SimpleHypothesisTest Constructor (String, Double, ContinuousDistribution)
SimpleHypothesisTest Constructor (String, Double, ContinuousDistribution)Extreme Optimization Numerical Libraries for .NET Professional
Constructs a new hypothesis test.

Namespace: Extreme.Statistics.Tests
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)
Syntax

C#
VB
C++
F#
Copy
public SimpleHypothesisTest(
	string name,
	double statistic,
	ContinuousDistribution distribution
)
Public Sub New ( 
	name As String,
	statistic As Double,
	distribution As ContinuousDistribution
)
public:
SimpleHypothesisTest(
	String^ name, 
	double statistic, 
	ContinuousDistribution^ distribution
)
new : 
        name : string * 
        statistic : float * 
        distribution : ContinuousDistribution -> SimpleHypothesisTest

Parameters

name
Type: SystemString
The name of the hypothesis test.
statistic
Type: SystemDouble
The value of the test statistic.
distribution
Type: Extreme.Statistics.DistributionsContinuousDistribution
A ContinuousDistribution object that represents the distribution of the test statistic.
Version Information

Numerical Libraries

Supported in: 6.0
See Also

Reference

SimpleHypothesisTest Class
SimpleHypothesisTest Overload
Extreme.Statistics.Tests Namespace

Copyright (c) 2004-2016 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2018, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.