`scipy.stats._hypotests:TukeyHSDResult.confidence_interval`

source: /scipy/stats/_hypotests.py :1860

Signature

def confidence_interval ( self , confidence_level = 0.95 )

Summary

Compute the confidence interval for the specified confidence level.

Parameters

confidence_level : float, optional: Confidence level for the computed confidence interval of the estimated proportion. Default is .95.

Returns

ci : ``ConfidenceInterval`` object: The object has attributes low and high that hold the lower and upper bounds of the confidence intervals for each comparison. The high and low values are accessible for each comparison at index (i, j) between groups i and j.

Examples

from scipy.stats import tukey_hsd
group0 = [24.5, 23.5, 26.4, 27.1, 29.9]
group1 = [28.4, 34.2, 29.5, 32.2, 30.1]
group2 = [26.1, 28.3, 24.3, 26.2, 27.8]
result = tukey_hsd(group0, group1, group2)
ci = result.confidence_interval()

✓

ci.low
ci.high

✗

Aliases

scipy.stats._hypotests.TukeyHSDResult.confidence_interval