| OneSampleTTest Class |
Class OneSampleTTest compares a single sample mean to an expected mean
from a normal distribution with an unknown standard deviation.
Inheritance Hierarchy Namespace: CenterSpace.NMath.CoreAssembly: NMath (in NMath.dll) Version: 7.4
Syntax [SerializableAttribute]
public class OneSampleTTest : ICloneable
<SerializableAttribute>
Public Class OneSampleTTest
Implements ICloneable
[SerializableAttribute]
public ref class OneSampleTTest : ICloneable
[<SerializableAttribute>]
type OneSampleTTest =
class
interface ICloneable
end
The OneSampleTTest type exposes the following members.
Constructors | Name | Description |
---|
| OneSampleTTest |
Default constructor. Constructs a OneSampleTTest instance with default
sample parameters, population mean, alpha level, and hypothesis type.
|
| OneSampleTTest(Double, Double) |
Constructs a OneSampleTTest instance using the given array of sample data, and
the given population mean.
|
| OneSampleTTest(DoubleVector, Double) |
Constructs a OneSampleTTest instance using the given vector of sample data, and
the given population mean.
|
| OneSampleTTest(IDFColumn, Double) |
Constructs a OneSampleTTest instance using the given column of sample data, and
the given population mean.
|
| OneSampleTTest(Int32, Double) |
Constructs a OneSampleTTest instance using the given array of sample data, and
the given population mean.
|
| OneSampleTTest(Double, Double, Int32, Double) |
Constructs a OneSampleTTest instance with the given sample and population parameters.
|
| OneSampleTTest(Double, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance using the given array of sample data, and
the given population and hypothesis parameters.
|
| OneSampleTTest(DoubleVector, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance using the given vector of sample data, and
the given population and hypothesis parameters.
|
| OneSampleTTest(IDFColumn, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance using the given vector of sample data, and
the given population and hypothesis parameters.
|
| OneSampleTTest(Int32, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance using the given array of sample data, and
the given population and hypothesis parameters.
|
| OneSampleTTest(Double, Double, Int32, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance with the given sample, population,
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 OneSampleTTests.
|
| DefaultType |
Gets and sets the default form of the alternative hypothesis associated with
OneSampleTTests.
|
| 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.
|
| Mu0 |
Gets the population 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 sample standard deviation.
|
| 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 sample mean.
|
TopMethods See Also