This method performs a T Test using Students distribution (T distribution) with unequal variances.
This analysis tool and its formulas perform a two-sample student's t-test. This t-test form assumes that the variances of both ranges of data are unequal; it is referred to as a heteroscedastic t-test. You can use a t-test to determine whether two sample means are equal. Use this test when the groups under study are distinct. Use a paired test when there is one group before and after a treatment.
Visual Basic (Declaration) | |
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Public Function TTestUnEqualVariances( _ ByVal hypothesizedMeanDifference As Double, _ ByVal probability As Double, _ ByVal firstInputSeriesName As String, _ ByVal secondInputSeriesName As String _ ) As TTestResult |
Visual Basic (Usage) | Copy Code |
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C# | |
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public TTestResult TTestUnEqualVariances( double hypothesizedMeanDifference, double probability, string firstInputSeriesName, string secondInputSeriesName ) |
Parameters
- hypothesizedMeanDifference
- The hypothesized difference between the means of the data groups.
Hypothesized Mean Difference - probability
- The alpha value (probability that the hypothesis is rejected).
Probability - firstInputSeriesName
- The name of the Series object that stores the first group of data. Data must be stored in the first Y-values of the series' data points.
First Input Series Name - secondInputSeriesName
- The name of the Series object that stores the second group of data. Data must be stored in the first Y-values of the series' data points.
Second Input Series Name
Return Value
Returns Result class from T TestVisual Basic | Copy Code |
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Imports Dundas.Charting.WebControl<CRLF>...<CRLF><CRLF>' Perform the test<CRLF>Dim result As TTestResult = Chart1.DataManipulator.Statistics.TTestUnEqualVariances(0.2,0.05,"Series1","Series2") |
C# | Copy Code |
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using Dundas.Charting.WebControl;<CRLF>...<CRLF><CRLF>// Perform the test<CRLF>TTestResult result = Chart1.DataManipulator.Statistics.TTestUnEqualVariances(0.2,0.05,"Series1","Series2"); |
This method performs a T test for two groups of data, and assumes unequal variances between the two groups (i.e. series).
This analysis tool is referred to as a heteroscedastic t-test, and can be used when the groups under study are distinct. Use a paired test when there is one group before and after a treatment.
If either input series does not exist in the series collection at the time of the method call an exception will be thrown.
The following is a brief description of the TTestResult class members:
Member | Description |
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FirstSeriesMean | The mean of the first data group. |
SecondSeriesMean | The mean of the second data group. |
FirstSeriesVariance | The variance of the first data group. |
SecondSeriesVariance | The variance of the second data group. |
TValue | The T value. |
DegreeOfFreedom | The degree of freedom. |
ProbabilityTOneTail | Probability - T value (one tail). |
TCriticalValueOneTail | T critical value (one tail). |
ProbabilityTTwoTail | Probability - T value (two tail). |
TCriticalValueTwoTail | T critical value (two tail). |
Target Platforms: Windows 98, Windows NT 4.0, Windows Millennium Edition, Windows 2000, Windows XP Home Edition, Windows XP Professional, Windows Server 2003 family, Windows Vista, Windows Server 2008 family