This is documentation for an old release of SciPy (version 1.8.1). Read this page Search for this page in the documentation of the latest stable release (version 1.15.1).

Contingency table functions (`scipy.stats.contingency`)#

Functions for creating and analyzing contingency tables.

`chi2_contingency`(observed[, correction, lambda_])	Chi-square test of independence of variables in a contingency table.
`relative_risk`(exposed_cases, exposed_total, ...)	Compute the relative risk (also known as the risk ratio).
`crosstab`(*args[, levels, sparse])	Return table of counts for each possible unique combination in `*args`.
`association`(observed[, method, correction, ...])	Calculates degree of association between two nominal variables.
`expected_freq`(observed)	Compute the expected frequencies from a contingency table.
`margins`(a)	Return a list of the marginal sums of the array a.

scipy.stats._result_classes.TukeyHSDResult.confidence_interval

scipy.stats.contingency.chi2_contingency

Contingency table functions (scipy.stats.contingency)#