Cochran–Armitage test for trend
The Cochran–Armitage test for trend, named for William Cochran and Peter Armitage, is used in categorical data analysis when the aim is to assess for the presence of an association between a variable with two categories and an ordinal variable with k categories. It modifies the Pearson chi-squared test to incorporate a suspected ordering in the effects of the k categories of the second variable.
Source: Wikipedia — Cochran–Armitage test for trend (CC BY-SA 4.0)