Welch’s ANOVA
Hypothesis tests · Method and input reference
Each line is a group. Repeated measures and Friedman require the same subjects in matching positions. Dunnett uses the first line as control. Parametric ANOVA assumes normal independent errors; repeated ANOVA assumes sphericity. Synthetic example: Four independent treatment arms, 40 blood-pressure observations per row (mmHg); arm 1 is control. Variances differ between arms.
Open calculator · Compare methods in the decision matrix
When to consider it
- Compare means across independent groups without assuming equal variances.
Assumptions and scope
- Observations must be independent between subjects; repeated rows from one subject are not independent samples.
- Use the outcome and predictor coding required by the calculator; review missing data and model diagnostics.
Required inputs
- Groups (one group per line) — 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 validates inputs and formats results; listed functions are the principal calculation routines, not an exhaustive transitive dependency list.
- statsmodels 0.14.4: statsmodels.stats.oneway.anova_oneway
These are pinned library versions; saved results record the versions actually used at runtime.