| TwoSamplePairedTTest Class |
Class TwoSamplePairedTTest 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 TwoSamplePairedTTest : ICloneable
<SerializableAttribute>
Public Class TwoSamplePairedTTest
Implements ICloneable
[SerializableAttribute]
public ref class TwoSamplePairedTTest : ICloneable
[<SerializableAttribute>]
type TwoSamplePairedTTest =
class
interface ICloneable
end
The TwoSamplePairedTTest type exposes the following members.
Constructors | Name | Description |
---|
| TwoSamplePairedTTest |
Default constructor. Constructs a TwoSamplePairedTTest instance with default
sample parameters, alpha level, and hypothesis type.
|
| TwoSamplePairedTTest(Double, Double) |
Constructs a TwoSamplePairedTTest instance using the given paired arrays of sample data.
|
| TwoSamplePairedTTest(DoubleVector, DoubleVector) |
Constructs a TwoSamplePairedTTest instance using the given paired vectors of sample data.
|
| TwoSamplePairedTTest(IDFColumn, IDFColumn) |
Constructs a TwoSamplePairedTTest instance using the given paired columns of sample data.
|
| TwoSamplePairedTTest(Int32, Int32) |
Constructs a TwoSamplePairedTTest instance using the given paired arrays of sample data.
|
| TwoSamplePairedTTest(Double, Double, Int32) |
Constructs a TwoSamplePairedTTest instance with the given sample parameters.
|
| TwoSamplePairedTTest(Double, Double, Double, HypothesisType) |
Constructs a TwoSamplePairedTTest instance using the given paired arrays of sample data,
and the given hypothesis parameters.
|
| TwoSamplePairedTTest(DoubleVector, DoubleVector, Double, HypothesisType) |
Constructs a TwoSamplePairedTTest instance using the given paired vectors of sample data,
and the given hypothesis parameters.
|
| TwoSamplePairedTTest(IDFColumn, IDFColumn, Double, HypothesisType) |
Constructs a TwoSamplePairedTTest instance using the given paired columns of sample data,
and the given hypothesis parameters.
|
| TwoSamplePairedTTest(Int32, Int32, Double, HypothesisType) |
Constructs a TwoSamplePairedTTest instance using the given paired arrays of sample data,
and the given hypothesis parameters.
|
| TwoSamplePairedTTest(Double, Double, Int32, Double, HypothesisType) |
Constructs a TwoSamplePairedTTest instance with the given sample 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 TwoSamplePairedTTests.
|
| DefaultType |
Gets and sets the default form of the alternative hypothesis associated with
TwoSamplePairedTTests.
|
| DegreesOfFreedom |
Gets the 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.
|
| 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.
|
| 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.
|
| S |
Gets the standard deviation of the differences between paired observations.
|
| SEM |
Gets the standard error of the mean.
|
| 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.
|
| Xbar |
Gets the mean of the differences between paired observations.
|
TopMethods Remarks
Paired samples often occur in pre-test/post-test studies in which subjects are
measured before and after an intervention. They also occur in matched-pairs
(for example, matching on age and sex), cross-over trials, and sequential
observational samples. Paired samples are also called matched samples and
dependent samples.
See Also