statsmodels.stats.contingency_tables.Table2x2.test_ordinal_association¶
-
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_scoresarray_like
An array of numeric row scores
- col_scoresarray_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.
Last update:
Dec 23, 2024