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
Nuget packages
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
    • Nuget packages
    • 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.DataAnalysis.Models
    • Extreme.Mathematics
    • Extreme.Mathematics.Algorithms
    • Extreme.Mathematics.Calculus
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
    • Extreme.Mathematics.Curves
    • Extreme.Mathematics.Curves.Nonlinear
    • Extreme.Mathematics.Distributed
    • Extreme.Mathematics.EquationSolvers
    • Extreme.Mathematics.Generic
    • Extreme.Mathematics.LinearAlgebra
    • Extreme.Mathematics.LinearAlgebra.Implementation
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
    • Extreme.Mathematics.Optimization
    • Extreme.Mathematics.Optimization.LineSearches
    • Extreme.Mathematics.Random
    • Extreme.Mathematics.SignalProcessing
    • Extreme.Providers
    • Extreme.Providers.InteropServices
    • Extreme.Statistics
    • Extreme.Statistics.Distributions
    • Extreme.Statistics.Multivariate
    • 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(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
  • HypothesisTest Class
    • HypothesisTest Constructors
    • Properties
    • Methods
    • Fields
  • Methods
    • CalculateStatistic Method
    • GetConfidenceInterval Method Overloads
    • GetLowerCriticalValue Method Overloads
    • GetPValue Method
    • GetUpperCriticalValue Method Overloads
    • Reject Method Overloads
    • Summarize Method Overloads
    • ToString Method
  • CalculateStatistic Method

HypothesisTestCalculateStatistic Method

Extreme Optimization Numerical Libraries for .NET Professional
Evaluates the test statistic.

Namespace:  Extreme.Statistics.Tests
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax
C#
VB
C++
F#
Copy
protected abstract double CalculateStatistic()
Protected MustOverride Function CalculateStatistic As Double
protected:
virtual double CalculateStatistic() abstract
abstract CalculateStatistic : unit -> float

Return Value

Type: Double
The value of the test statistic.
See Also

Reference

HypothesisTest Class
Extreme.Statistics.Tests Namespace

Copyright (c) 2004-2021 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2021, 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.