statsmodels.stats.contingency_tables.Table2x2.test_ordinal_association¶
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Table2x2.
test_ordinal_association
(row_scores=None, col_scores=None)¶ 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_scores : array_like
An array of numeric row scores
col_scores : array_like
An array of numeric column scores
- Returns
A bunch with the following attributes:
statistic : float
The test statistic.
null_mean : float
The expected value of the test statistic under the null hypothesis.
null_sd : float
The standard deviation of the test statistic under the null hypothesis.
zscore : float
The Z-score for the test statistic.
pvalue : float
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.