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)

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 groups i 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 group i and the control.

Methods

confidence_interval([confidence_level])

Compute the confidence interval for the specified confidence level.