 | Pearsons |
The PearsonsChiSquareTest type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Alpha | Gets and sets the alpha level associated with this hypothesis test. |
| ChiSquareStatistic | Gets the chi-square statistic, or the sum of all chi-square values across all expr outcomes. |
 | DefaultAlpha | Gets and sets the default alpha level associated with the PearsonChiSquareTest. Used to determine whether or not to reject the null hypothesis. |
| DefaultDF | The default degrees of freedom. If degrees of freedom are not supplied, then assume that each experiment has 1 degree of freedom, or only two possible outcomes. |
| DefaultIsYatesCorrected | Default behavior for computing the Chi-square statistic is to not use Yates correction for 2 × 2 contingency tables. |
| DegreesOfFreedom | Gets the degrees of freedom. |
| Distribution | Gets the chi-square distribution for this set of experiment runs based on the degrees of freedom in the experiment. |
| IsYatesCorrected | Returns true is the calcuation of the chi-square statistic for 2 × 2 contingency tables uses Yates correction; otherwise, false. |
| N | Gets the sample size. |
| P | Gets the p-value associated with the test statistic. |
| Reject | Returns true if the null hypothesis can be rejected, using the current hypothesis type and alpha level; otherwise, false. |
See Also