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    • AndersonDarlingDistribution Class
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    • TwoSampleTTest Constructors
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  • TwoSampleTTest Constructors
    • TwoSampleTTest Constructor
    • TwoSampleTTest Constructor (Vector(Double), Vector(Double))
    • TwoSampleTTest Constructor (Vector(Double), Vector(Double), Double)
    • TwoSampleTTest Constructor (Vector(Double), Vector(Double), SamplePairing, Boolean)
    • TwoSampleTTest Constructor (Vector(Double), Vector(Double), Double, SamplePairing, Boolean, HypothesisType)
    • TwoSampleTTest Constructor (Int32, Double, Double, Int32, Double, Double, Double, SamplePairing, Boolean, HypothesisType)
  • TwoSampleTTest Constructor (Vector(Double), Vector(Double))

TwoSampleTTest Constructor (VectorDouble, VectorDouble)

Extreme Optimization Numerical Libraries for .NET Professional
Constructs a new unpaired TwoSampleTTest for the specified vector.

Namespace:  Extreme.Statistics.Tests
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax
C#
VB
C++
F#
Copy
public TwoSampleTTest(
	Vector<double> sample1,
	Vector<double> sample2
)
Public Sub New ( 
	sample1 As Vector(Of Double),
	sample2 As Vector(Of Double)
)
public:
TwoSampleTTest(
	Vector<double>^ sample1, 
	Vector<double>^ sample2
)
new : 
        sample1 : Vector<float> * 
        sample2 : Vector<float> -> TwoSampleTTest

Parameters

sample1
Type: Extreme.MathematicsVectorDouble
The first vector
sample2
Type: Extreme.MathematicsVectorDouble
The second vector
Exceptions
ExceptionCondition
ArgumentNullExceptionsample1 is .

-or-

sample2 is .

Remarks

This constructor constructs a t test for the assumption that the population means of two samples are equal. The test is unpaired, meaning that the samples are from two independent populations. No assumptions are made about the variances of the two populations.

See Also

Reference

TwoSampleTTest Class
TwoSampleTTest Overload
Extreme.Statistics.Tests Namespace

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