statsmodels.stats.contingency_tables.Table.test_ordinal_association¶
method
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Table.test_ordinal_association(row_scores=None, col_scores=None)[source]¶ Assess independence between two ordinal variables.
This is the ‘linear by linear’ association test, which uses weights or scores to target the test to have more power against ordered alternatives.
- Parameters
- row_scoresarray-like
An array of numeric row scores
- col_scoresarray-like
An array of numeric column scores
- Returns
- A bunch with the following attributes:
- statisticfloat
The test statistic.
- null_meanfloat
The expected value of the test statistic under the null hypothesis.
- null_sdfloat
The standard deviation of the test statistic under the null hypothesis.
- zscorefloat
The Z-score for the test statistic.
- pvaluefloat
The p-value for the test.
Notes
The scores define the trend to which the test is most sensitive.
Using the default row and column scores gives the Cochran-Armitage trend test.