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# 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).
`odds_ratio`(table, *[, kind]) | Compute the odds ratio for a 2x2 contingency table.
`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.