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TwoSampleFTest Class

Class TwoSampleFTest tests if the variances of two populations are equal.
Inheritance Hierarchy
SystemObject
  CenterSpace.NMath.CoreTwoSampleFTest

Namespace:  CenterSpace.NMath.Core
Assembly:  NMath (in NMath.dll) Version: 7.3
Syntax
[SerializableAttribute]
public class TwoSampleFTest : ICloneable

The TwoSampleFTest type exposes the following members.

Constructors
  NameDescription
Public methodTwoSampleFTest
Default constructor. Constructs a TwoSampleFTest instance with default sample parameters, alpha level, and hypothesis type.
Public methodTwoSampleFTest(Double, Double)
Constructs a TwoSampleFTest instance using the given arrays of sample data.
Public methodTwoSampleFTest(Int32, Int32)
Constructs a TwoSampleFTest instance using the given arrays of sample data.
Public methodTwoSampleFTest(DoubleVector, DoubleVector)
Constructs a TwoSampleFTest instance using the given vectors of sample data.
Public methodTwoSampleFTest(IDFColumn, IDFColumn)
Constructs a TwoSampleFTest instance using the given columns of sample data.
Public methodTwoSampleFTest(Double, Int32, Double, Int32)
Constructs a TwoSampleFTest instance with the given sample parameters.
Public methodTwoSampleFTest(Double, Double, Double, HypothesisType)
Constructs a TwoSampleFTest instance using the given arrays of sample data, and the given hypothesis parameters.
Public methodTwoSampleFTest(Int32, Int32, Double, HypothesisType)
Constructs a TwoSampleFTest instance using the given arrays of sample data, and the given hypothesis parameters.
Public methodTwoSampleFTest(DoubleVector, DoubleVector, Double, HypothesisType)
Constructs a TwoSampleFTest instance using the given vectors of sample data, and the given hypothesis parameters.
Public methodTwoSampleFTest(IDFColumn, IDFColumn, Double, HypothesisType)
Constructs a TwoSampleFTest instance using the given columns of sample data, and the given hypothesis parameters.
Public methodTwoSampleFTest(Double, Int32, Double, Int32, Double, HypothesisType)
Constructs a TwoSampleFTest instance with the given sample and and hypothesis parameters.
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Properties
  NameDescription
Public propertyAlpha
Gets and sets the alpha level associated with this hypothesis test.
Public propertyStatic memberDefaultAlpha
Gets and sets the default alpha level associated with TwoSampleFTests.
Public propertyStatic memberDefaultType
Gets and sets the default form of the alternative hypothesis associated with TwoSampleFTests.
Public propertyDegreesOfFreedom1
Gets the numerator degrees of freedom.
Public propertyDegreesOfFreedom2
Gets the denominator degrees of freedom.
Public propertyDistribution
Gets the distribution of the test statistic associated with this hypothesis test.
Public propertyLeftCriticalValue
Gets the left critical value based on the current probability distribution and alpha level associated with this hypothesis test.
Public propertyLeftProbability
Gets the area under the probability distribution to the left of the test statistic.
Public propertyLowerConfidenceLimit
Gets the 1 - alpha lower confidence limit for the true mean.
Public propertyN1
Gets the size of the first sample.
Public propertyN2
Gets the size of the second sample.
Public propertyP
Gets the p-value associated with the test statistic.
Public propertyReject
Tests whether the null hypothesis can be rejected, using the current hypothesis type and alpha level.
Public propertyRightCriticalValue
Gets the right critical value based on the current probability distribution and alpha level associated with this hypothesis test.
Public propertyRightProbability
Gets the area under the probability distribution to the right of the test statistic.
Public propertyS1
Gets the standard deviation of the first sample.
Public propertyS2
Gets the standard deviation of the second sample.
Public propertyStatistic
Gets the value of the test statistic associated with this hypothesis test.
Public propertyType
Gets and sets the form of the alternative hypothesis associated with this hypothesis test.
Public propertyUpperConfidenceLimit
Gets the 1 - alpha upper confidence limit for the true mean.
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Methods
See Also