| TwoSampleFTest Class |
Class TwoSampleFTest tests if the variances of two populations
are equal.
Inheritance Hierarchy Namespace: CenterSpace.NMath.CoreAssembly: NMath (in NMath.dll) Version: 7.4
Syntax [SerializableAttribute]
public class TwoSampleFTest : ICloneable
<SerializableAttribute>
Public Class TwoSampleFTest
Implements ICloneable
[SerializableAttribute]
public ref class TwoSampleFTest : ICloneable
[<SerializableAttribute>]
type TwoSampleFTest =
class
interface ICloneable
end
The TwoSampleFTest type exposes the following members.
Constructors | Name | Description |
---|
| TwoSampleFTest |
Default constructor. Constructs a TwoSampleFTest instance with default
sample parameters, alpha level, and hypothesis type.
|
| TwoSampleFTest(Double, Double) |
Constructs a TwoSampleFTest instance using the given arrays of sample data.
|
| TwoSampleFTest(DoubleVector, DoubleVector) |
Constructs a TwoSampleFTest instance using the given vectors of sample data.
|
| TwoSampleFTest(IDFColumn, IDFColumn) |
Constructs a TwoSampleFTest instance using the given columns of sample data.
|
| TwoSampleFTest(Int32, Int32) |
Constructs a TwoSampleFTest instance using the given arrays of sample data.
|
| TwoSampleFTest(Double, Int32, Double, Int32) |
Constructs a TwoSampleFTest instance with the given sample parameters.
|
| TwoSampleFTest(Double, Double, Double, HypothesisType) |
Constructs a TwoSampleFTest instance using the given arrays of sample data, and
the given hypothesis parameters.
|
| TwoSampleFTest(DoubleVector, DoubleVector, Double, HypothesisType) |
Constructs a TwoSampleFTest instance using the given vectors of sample data, and
the given hypothesis parameters.
|
| TwoSampleFTest(IDFColumn, IDFColumn, Double, HypothesisType) |
Constructs a TwoSampleFTest instance using the given columns of sample data, and
the given hypothesis parameters.
|
| TwoSampleFTest(Int32, Int32, Double, HypothesisType) |
Constructs a TwoSampleFTest instance using the given arrays of sample data, and
the given hypothesis parameters.
|
| TwoSampleFTest(Double, Int32, Double, Int32, Double, HypothesisType) |
Constructs a TwoSampleFTest instance with the given sample and
and hypothesis parameters.
|
TopProperties | Name | Description |
---|
| Alpha |
Gets and sets the alpha level associated with this hypothesis test.
|
| DefaultAlpha |
Gets and sets the default alpha level associated with TwoSampleFTests.
|
| DefaultType |
Gets and sets the default form of the alternative hypothesis associated with
TwoSampleFTests.
|
| DegreesOfFreedom1 |
Gets the numerator degrees of freedom.
|
| DegreesOfFreedom2 |
Gets the denominator degrees of freedom.
|
| Distribution |
Gets the distribution of the test statistic associated with this
hypothesis test.
|
| LeftCriticalValue |
Gets the left critical value based on the current probability
distribution and alpha level associated with this hypothesis test.
|
| LeftProbability |
Gets the area under the probability distribution to the left of the
test statistic.
|
| LowerConfidenceLimit |
Gets the 1 - alpha lower confidence limit for the true mean.
|
| N1 |
Gets the size of the first sample.
|
| N2 |
Gets the size of the second sample.
|
| P |
Gets the p-value associated with the test statistic.
|
| Reject |
Tests whether the null hypothesis can be rejected, using the current
hypothesis type and alpha level.
|
| RightCriticalValue |
Gets the right critical value based on the current probability
distribution and alpha level associated with this hypothesis test.
|
| RightProbability |
Gets the area under the probability distribution to the right of the
test statistic.
|
| S1 |
Gets the standard deviation of the first sample.
|
| S2 |
Gets the standard deviation of the second sample.
|
| Statistic |
Gets the value of the test statistic associated with this hypothesis
test.
|
| Type |
Gets and sets the form of the alternative hypothesis associated with this
hypothesis test.
|
| UpperConfidenceLimit |
Gets the 1 - alpha upper confidence limit for the true mean.
|
TopMethods See Also