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scipy.stats._result_classes.

# TukeyHSDResult

class scipy.stats._result_classes.TukeyHSDResult(statistic, pvalue, _nobs, _ntreatments, _stand_err)

  Result of `scipy.stats.tukey_hsd`.

  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.

  Attributes:
    statistic float 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`.

    pvalue float 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.