scipy.stats._result_classes.

TukeyHSDResult#

class scipy.stats._result_classes.TukeyHSDResult(statistic, pvalue, _nobs, _ntreatments, _stand_err)[source]#

Result of scipy.stats.tukey_hsd.

Attributes:

statisticfloat ndarray: The computed statistic of the test for each comparison. The element at index (i, j) is the statistic for the comparison between groups i and j.
pvaluefloat ndarray: The associated p-value from the studentized range distribution. The element at index (i, j) is the p-value for the comparison between groups i and j.

Methods

confidence_interval([confidence_level])

Compute the confidence interval for the specified confidence level.

Notes

The string representation of this object displays the most recently calculated confidence interval, and if none have been previously calculated, it will evaluate confidence_interval().

References

[1]

NIST/SEMATECH e-Handbook of Statistical Methods, “7.4.7.1. Tukey’s Method.” https://www.itl.nist.gov/div898/handbook/prc/section4/prc471.htm, 28 November 2020.