TukeyHSDResult.confidence_interval(self, confidence_level=0.95)
Confidence level for the computed confidence interval of the estimated proportion. Default is .95.
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
.
Compute the confidence interval for the specified confidence level.
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
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