scipy.stats._result_classes.DunnettResult#
- class scipy.stats._result_classes.DunnettResult(statistic, pvalue, _alternative, _rho, _df, _std, _mean_samples, _mean_control, _n_samples, _n_control, _rng, _ci=None, _ci_cl=None)[source]#
Result object returned by
scipy.stats.dunnett
.- Attributes:
- statisticfloat ndarray
The computed statistic of the test for each comparison. The element at index
i
is the statistic for the comparison between groupsi
and the control.- pvaluefloat ndarray
The computed p-value of the test for each comparison. The element at index
i
is the p-value for the comparison between groupi
and the control.
Methods
confidence_interval
([confidence_level])Compute the confidence interval for the specified confidence level.