public sealed class McNemarTest : HypothesisTest

Public NotInheritable Class McNemarTest
	Inherits HypothesisTest

public ref class McNemarTest sealed : public HypothesisTest

[<SealedAttribute>]
type McNemarTest =  
    class
        inherit HypothesisTest
    end

The McNemarTest type exposes the following members.

	Name	Description
	McNemarTest(CategoricalVariable, CategoricalVariable)	Constructs a new McNemarTest.
	McNemarTest(ICategoricalVector, ICategoricalVector, Boolean)	Constructs a new McNemarTest.

	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. (Overrides HypothesisTestName.)
	PValue	Gets the probability that the test statistic would take on the calculated value under the alternate hypothesis. (Inherited from HypothesisTest.)
	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.)

	Name	Description
	Equals	Determines whether the specified Object is equal to the current Object. (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 a hash function for a particular type. (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.)
	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. (Inherited from HypothesisTest.)
	ToString	Returns a string that represents the current object. (Inherited from HypothesisTest.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

Use the McNemarTest class to test the hypothesis that the proportions of one of two outcomes are the same in two samples.

The data for the test must be provided as ICategoricalVector objects in the constructor. The CategoryIndex of each variable must have two levels. The scales will often be the same, but this is not necessary. The two samples must also have the same number of observations.

This test assumes that the number of observations with different outcomes for each variable is large enough. Otherwise, the approximation of a Chi-square distribution no longer holds.

Numerical Libraries

Reference