TukeyHSDResult#
- class scipy.stats._result_classes.TukeyHSDResult(statistic, pvalue, _ntreatments, _df, _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- iand- 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- iand- 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. [2]- P. A. Games and J. F. Howell, “Pairwise Multiple Comparison Procedures with Unequal N’s and/or Variances: A Monte Carlo Study,” Journal of Educational Statistics, vol. 1, no. 2, pp. 113-125, Jun. 1976, doi: https://doi.org/10.3102/10769986001002113.