| WilcoxonSignedRankTest Class |
Class WilcoxonSignedRankTest tests if two paired sets of observed values differ
from each other in a significant way.
Inheritance Hierarchy Namespace: CenterSpace.NMath.CoreAssembly: NMath (in NMath.dll) Version: 7.4
Syntax [SerializableAttribute]
public class WilcoxonSignedRankTest : ICloneable
<SerializableAttribute>
Public Class WilcoxonSignedRankTest
Implements ICloneable
[SerializableAttribute]
public ref class WilcoxonSignedRankTest : ICloneable
[<SerializableAttribute>]
type WilcoxonSignedRankTest =
class
interface ICloneable
end
The WilcoxonSignedRankTest type exposes the following members.
Constructors | Name | Description |
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| WilcoxonSignedRankTest(Double, Double) |
Constructs a WilcoxonSignedRankTest instance using the given paired arrays of sample data.
|
| WilcoxonSignedRankTest(DoubleVector, DoubleVector) |
Constructs a WilcoxonSignedRankTest instance using the given paired vectors of sample data.
|
| WilcoxonSignedRankTest(IDFColumn, IDFColumn) |
Constructs a WilcoxonSignedRankTest instance using the given paired columns of sample data.
|
| WilcoxonSignedRankTest(Int32, Int32) |
Constructs a WilcoxonSignedRankTest instance using the given paired arrays of sample data.
|
| WilcoxonSignedRankTest(Double, Double, Double, HypothesisType, Boolean) |
Constructs a WilcoxonSignedRankTest instance using the given paired arrays of sample data,
and the given hypothesis parameters.
|
| WilcoxonSignedRankTest(DoubleVector, DoubleVector, Double, HypothesisType, Boolean) |
Constructs a WilcoxonSignedRankTest instance using the given paired vectors of sample data,
and the given hypothesis parameters.
|
| WilcoxonSignedRankTest(IDFColumn, IDFColumn, Double, HypothesisType, Boolean) |
Constructs a WilcoxonSignedRankTest instance using the given paired columns of sample data,
and the given hypothesis parameters.
|
| WilcoxonSignedRankTest(Int32, Int32, Double, HypothesisType, Boolean) |
Constructs a WilcoxonSignedRankTest instance using the given paired arrays of sample data,
and the given hypothesis parameters.
|
TopProperties | Name | Description |
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| Alpha |
Gets and sets the alpha level associated with this hypothesis test.
|
| DefaultAlpha |
Gets and sets the default alpha level associated with WilcoxonSignedRankTests.
|
| DefaultExactPValue |
Gets and sets the default setting for whether an exact p-value should be computed,
or a normal approximation should be used.
|
| DefaultType |
Gets and sets the default form of the alternative hypothesis associated with
WilcoxonSignedRankTests.
|
| ExactPValue |
Gets and sets a boolean value indicating whether an exact p-value should be computed, or a normal approximation
should be used.
|
| LeftProbability |
Gets the area under the probability distribution to the left of the
test statistic.
|
| N |
Gets the sample size.
|
| 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.
|
| RightProbability |
Gets the area under the probability distribution to the right of the
test statistic.
|
| SignedRanks |
Gets the vector of signed ranks.
|
| 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.
|
TopMethods Remarks
The Wilcoxon signed-rank is a non-parametric statistical hypothesis test for comparing the
means between two paired samples, or repeated measurements on a single sample. It can be used as
an alternative to TwoSamplePairedTTest when the population cannot be assumed to be normally
distributed.
The null hypothesis is that the distribution x - y is symmetric about 0.
For n > 10, the sampling distribution of the test statistic converges to a normal distribution. For smaller
sample sizes, an exact p-value can be calculated by enumerating all possible combinations of the test
statistic given n.
See Also