McNemarTest Class

Represents a McNemar test on paired proportions.

Definition

Namespace: Extreme.Statistics.Tests
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
C#
public sealed class McNemarTest : HypothesisTest
Inheritance
Object  →  HypothesisTest  →  McNemarTest

Remarks

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.

Constructors

McNemarTest Constructs a new McNemarTest.

Properties

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 HypothesisTest.Name)
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)

Methods

EqualsDetermines 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)
GetHashCodeServes 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)
GetTypeGets 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)
ToStringReturns a string that represents the current object.
(Inherited from HypothesisTest)

See Also