![]() | OneSampleTTest Class |
Namespace: CenterSpace.NMath.Core
The OneSampleTTest type exposes the following members.
Name | Description | |
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![]() | OneSampleTTest |
Default constructor. Constructs a OneSampleTTest instance with default
sample parameters, population mean, alpha level, and hypothesis type.
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![]() | OneSampleTTest(Double, Double) |
Constructs a OneSampleTTest instance using the given array of sample data, and
the given population mean.
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![]() | OneSampleTTest(Int32, Double) |
Constructs a OneSampleTTest instance using the given array of sample data, and
the given population mean.
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![]() | OneSampleTTest(DoubleVector, Double) |
Constructs a OneSampleTTest instance using the given vector of sample data, and
the given population mean.
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![]() | OneSampleTTest(IDFColumn, Double) |
Constructs a OneSampleTTest instance using the given column of sample data, and
the given population mean.
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![]() | OneSampleTTest(Double, Double, Int32, Double) |
Constructs a OneSampleTTest instance with the given sample and population parameters.
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![]() | OneSampleTTest(Double, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance using the given array of sample data, and
the given population and hypothesis parameters.
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![]() | OneSampleTTest(Int32, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance using the given array of sample data, and
the given population and hypothesis parameters.
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![]() | OneSampleTTest(DoubleVector, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance using the given vector of sample data, and
the given population and hypothesis parameters.
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![]() | OneSampleTTest(IDFColumn, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance using the given vector of sample data, and
the given population and hypothesis parameters.
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![]() | OneSampleTTest(Double, Double, Int32, Double, Double, HypothesisType) |
Constructs a OneSampleTTest instance with the given sample, population,
and hypothesis parameters.
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Name | Description | |
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![]() | Alpha |
Gets and sets the alpha level associated with this hypothesis test.
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![]() ![]() | DefaultAlpha |
Gets and sets the default alpha level associated with OneSampleTTests.
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![]() ![]() | DefaultType |
Gets and sets the default form of the alternative hypothesis associated with
OneSampleTTests.
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![]() | DegreesOfFreedom |
Gets the degrees of freedom.
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![]() | Distribution |
Gets the distribution of the test statistic associated with this
hypothesis test.
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![]() | LeftCriticalValue |
Gets the left critical value based on the current probability
distribution and alpha level associated with this hypothesis test.
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![]() | LeftProbability |
Gets the area under the probability distribution to the left of the
test statistic.
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![]() | LowerConfidenceLimit |
Gets the 1 - alpha lower confidence limit for the true mean.
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![]() | Mu0 |
Gets the population mean.
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![]() | N |
Gets the sample size.
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![]() | P |
Gets the p-value associated with the test statistic.
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![]() | Reject |
Tests whether the null hypothesis can be rejected, using the current
hypothesis type and alpha level.
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![]() | RightCriticalValue |
Gets the right critical value based on the current probability
distribution and alpha level associated with this hypothesis test.
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![]() | RightProbability |
Gets the area under the probability distribution to the right of the
test statistic.
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![]() | S |
Gets the sample standard deviation.
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![]() | SEM |
Gets the standard error of the mean.
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![]() | Statistic |
Gets the value of the test statistic associated with this hypothesis
test.
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![]() | Type |
Gets and sets the form of the alternative hypothesis associated with this
hypothesis test.
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![]() | UpperConfidenceLimit |
Gets the 1 - alpha upper confidence limit for the true mean.
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![]() | Xbar |
Gets the sample mean.
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Name | Description | |
---|---|---|
![]() | Clone |
Creates a deep copy of this OneSampleTTest.
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![]() | ToString |
Returns a formatted string representation of the test results.
(Overrides ObjectToString.) |
![]() | Update(Double) |
Updates the test statistic with a new population mean.
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![]() | Update(Double) |
Updates the test statistic with new sample data.
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![]() | Update(Int32) |
Updates the test statistic with new sample data.
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![]() | Update(DoubleVector) |
Updates the test statistic with new sample data.
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![]() | Update(IDFColumn) |
Updates the test statistic with new sample data.
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![]() | Update(Double, Double) |
Updates the test statistic with new sample data and population
mean.
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![]() | Update(Int32, Double) |
Updates the test statistic with new sample data and population
mean.
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![]() | Update(DoubleVector, Double) |
Updates the test statistic with new sample data and population
mean.
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![]() | Update(IDFColumn, Double) |
Updates the test statistic with new sample data and population
mean.
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![]() | Update(Double, Double, Int32) |
Updates the test statistic with new sample parameters.
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![]() | Update(Double, Double, Int32, Double) |
Updates the test statistic with new sample and population parameters.
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