public sealed class TwoSampleTTest : TwoSampleTest

Public NotInheritable Class TwoSampleTTest
	Inherits TwoSampleTest

public ref class TwoSampleTTest sealed : public TwoSampleTest

[<SealedAttribute>]
type TwoSampleTTest =  
    class
        inherit TwoSampleTest
    end

The TwoSampleTTest type exposes the following members.

	Name	Description
	TwoSampleTTest	Constructs a new unpaired TwoSampleTTest for the specified samples.
	TwoSampleTTest(NumericalVariable, NumericalVariable)	Constructs a new unpaired TwoSampleTTest for the specified NumericalVariable.
	TwoSampleTTest(VectorDouble, VectorDouble)	Constructs a new unpaired TwoSampleTTest for the specified vector.
	TwoSampleTTest(NumericalVariable, NumericalVariable, Double)	Constructs a new unpaired TwoSampleTTest for the specified samples.
	TwoSampleTTest(VectorDouble, VectorDouble, Double)	Constructs a new unpaired TwoSampleTTest for the specified samples.
	TwoSampleTTest(NumericalVariable, NumericalVariable, SamplePairing, VarianceAssumption)	Constructs a new TwoSampleTTest for the specified NumericalVariable.
	TwoSampleTTest(VectorDouble, VectorDouble, SamplePairing, Boolean)	Constructs a new TwoSampleTTest for the specified vector.
	TwoSampleTTest(NumericalVariable, NumericalVariable, Double, SamplePairing, VarianceAssumption)	Constructs a new TwoSampleTTest for the specified NumericalVariable.
	TwoSampleTTest(Int32, Double, Double, Int32, Double, Double)	Constructs a new unpaired TwoSampleTTest for the specified samples.
	TwoSampleTTest(VectorDouble, VectorDouble, Double, SamplePairing, Boolean, HypothesisType)	Constructs a new TwoSampleTTest for the specified vector.
	TwoSampleTTest(Int32, Double, Double, Int32, Double, Double, Double, SamplePairing, Boolean, HypothesisType)	Constructs a new unpaired TwoSampleTTest for the specified samples.

	Name	Description
	AssumeEqualVariances	Gets or sets whether the variances of the two samples are assumed to be equal.
	Count1	Gets or sets the number of observations of the first sample.
	Count2	Gets or sets the number of observations of the second sample.
	DegreesOfFreedom	Gets the degrees of freedom of the test.
	Difference	Gets or sets the proposed difference between the two means.
	Distribution	Gets the probability distribution used in the hypothesis test. (Inherited from HypothesisTest.)
	HypothesisType	Gets or sets whether the test is one or two-tailed. (Inherited from HypothesisTest.)
	Mean1	Gets or sets the mean of the first sample.
	Mean2	Gets or sets the mean of the second sample.
	Name	Gets the name of the hypothesis test. (Overrides HypothesisTestName.)
	Pairing	Gets or sets whether the test is paired or unpaired.
	PValue	Gets the probability that the test statistic would take on the calculated value under the alternate hypothesis. (Inherited from HypothesisTest.)
	Sample1	Gets or sets the first sample this test is being applied to. (Inherited from TwoSampleTestT.)
	Sample2	Gets or sets the second sample this test is being applied to. (Inherited from TwoSampleTestT.)
	SignificanceLevel	Gets the significance level used to test the null hypothesis. (Inherited from HypothesisTest.)
	Statistic	Gets the value of the test statistic. (Inherited from HypothesisTest.)
	Variance1	Gets or sets the variance of the first sample.
	Variance2	Gets or sets the variance of the second sample.
	VarianceAssumption	Gets or sets whether the variances of the two samples are assumed to be equal.

	Name	Description
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	GetConfidenceInterval	Returns the confidence interval for the test parameter for the default confidence level. (Inherited from HypothesisTest.)
	GetConfidenceInterval(Double)	Returns the confidence interval for the test parameter for the specified confidence level. (Inherited from HypothesisTest.)
	GetDifferenceEstimate	Gets the estimated value of the difference between the two samples.
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetLowerCriticalValue	Gets the lower critical value for the hypothesis test's current significance level. (Inherited from HypothesisTest.)
	GetLowerCriticalValue(Double)	Gets the lower critical value for the hypothesis test at the specified significance level. (Inherited from HypothesisTest.)
	GetPValue	Gets the probability that the test statistic would take on the calculated value under the specified alternate hypothesis. (Inherited from HypothesisTest.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	GetUpperCriticalValue	Gets the upper critical value for the test statistic at the hypothesis test's current significance level. (Inherited from HypothesisTest.)
	GetUpperCriticalValue(Double)	Gets the upper critical value for the test statistic at the specified significance level. (Inherited from HypothesisTest.)
	Reject	Returns whether the null hypothesis is rejected using the default significance level. (Inherited from HypothesisTest.)
	Reject(Double)	Returns whether the null hypothesis is rejected using the specified significance level. (Inherited from HypothesisTest.)
	Summarize	Returns a string containing a human-readable summary of the object. (Inherited from HypothesisTest.)
	Summarize(SummaryOptions)	Returns a string containing a human-readable summary of the object using the specified options. (Overrides HypothesisTestSummarize(SummaryOptions).)
	ToString	Returns a string that represents the current object. (Inherited from HypothesisTest.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

Use the TwoSampleTTest class to test the hypothesis that the difference between two population means are equal to a specific value.

The test can be either paired or unpaired. In a paired test, each observation in the first sample has a corresponding observation in the second sample.

An example of an unpaired test is one that compares the average height of men and women by choosing random samples of each group. An example of an unpaired test is one that compares the height of fathers to that of their sons.

Numerical Libraries

Reference