Effect size
Hypothesis tests · Method and input reference
Two-sided; independent t uses Welch. Paired tests require matched observations. Permutation uses difference in means, 9,999 resamples and a fixed seed. Effect sizes use pooled sample SD. Synthetic example: Two independent blood-pressure cohorts: 120 and 96 people, with unequal variability; values in mmHg.
Open calculator · Compare methods in the decision matrix
Required inputs
- Observations — Numeric observations; preserve the row and column structure described above.
- Second sample — Numeric observations; preserve the row and column structure described above.
Review missing values and data coding before running. Sample inputs are synthetic teaching examples.
Implementation
Lifescio formulas and summaries over NumPy arrays. Sample variances use ddof=1; custom formulas are described in the method help.
- numpy 2.2.6: numpy.mean, numpy.var
These are pinned library versions; saved results record the versions actually used at runtime.