 | One |
Class OneSampleTTest compares a single sample mean to an expected mean
from a normal distribution with an unknown standard deviation.
Inheritance HierarchyNamespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4
SyntaxThe 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. |
Properties| 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. |
Methods| Name | Description | |
|---|---|---|
| Clone | Creates a deep copy of this OneSampleTTest. |
| ToString |
Returns a formatted string representation of the test results.
(Overrides ObjectToString) |
| Update(Double) | Updates the test statistic with a new population mean. |
| Update(Double) | Updates the test statistic with new sample data. |
| Update(DoubleVector) | Updates the test statistic with new sample data. |
| Update(IDFColumn) | Updates the test statistic with new sample data. |
| Update(Int32) | Updates the test statistic with new sample data. |
| Update(Double, Double) | Updates the test statistic with new sample data and population mean. |
| Update(DoubleVector, Double) | Updates the test statistic with new sample data and population mean. |
| Update(IDFColumn, Double) | Updates the test statistic with new sample data and population mean. |
| Update(Int32, Double) | Updates the test statistic with new sample data and population mean. |
| Update(Double, Double, Int32) | Updates the test statistic with new sample parameters. |
| Update(Double, Double, Int32, Double) | Updates the test statistic with new sample and population parameters. |
See Also