| | Name | Description |
|---|
 | PearsonsChiSquareTest |
Default constructor. Constructs a PearsonsChiSquareTest instance with the
default degrees of freedom and default alpha.
|
| PearsonsChiSquareTest(Double) |
Constructs a PearsonsChiSquareTest from the given value of the test statistic.
|
| PearsonsChiSquareTest(Int32) |
Test of independence. Asseses whether paired observations on two variables provided in the form of
a contingency table are independent. Use the default alpha to determine accept/reject.
|
| PearsonsChiSquareTest(Double, Double) |
Constructs a PearsonsChiSquareTest from the given value of the test statistic.
|
| PearsonsChiSquareTest(Int32, DoubleVector) |
Constructs a PearsonsChiSquareTest using empirical data tracking the outcomes of a series of
experiment runs along with the expected frequencies of outcomes for any one particular
experiment run.
|
| PearsonsChiSquareTest(Int32, Boolean) |
Test of independence. Asseses whether paired observations on two variables provided in the form of
a contingency table are independent. Use the default alpha to determine accept/reject.
|
| PearsonsChiSquareTest(Int32, Double) |
Test of independence. Asseses whether paired observations on two variables provided in the form of
a contingency table are independent.
|
| PearsonsChiSquareTest(Double, Double, Double) |
Constructs a PearsonsChiSquareTest from the given value of the test statistic.
|
| PearsonsChiSquareTest(Int32, DoubleVector, Double) |
Constructs a PearsonsChiSquareTest using empirical data tracking the outcomes of a series of
experiment runs along with the expected frequencies of outcomes for any one particular
experiment run.
|
| PearsonsChiSquareTest(Int32, Double, Boolean) |
Test of independence. Asseses whether paired observations on two variables provided in the form of
a contingency table are independent.
|
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