statsmodels.stats.contingency_tables.Table.test_ordinal_association¶
-
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:- 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