TTest

class hypex.comparators.TTest(compare_by, grouping_role=None, target_role=None, baseline_role=None, reliability=0.05, key='', calc_kwargs={})[source]

Bases: StatHypothesisTesting

Two-sample t-test for numeric targets.

Compares group means using Welch’s t-test (unequal variances assumed). Operates on raw data slices via scipy. For Spark workloads prefer the aggregated-stats variant exposed through hypex.comparators.AggTTest.

Parameters:

compare_by (Literal['groups', 'columns', 'columns_in_groups', 'cross', 'matched_pairs']) – Comparison mode ("groups", "columns", etc.).
grouping_role (Optional[ABCRole]) – Role that identifies the group column.
target_role (Optional[ABCRole]) – Role that identifies the numeric target column(s).
reliability (float) – Significance level α (default 0.05).
key (Any) – Optional label for this test instance.