one_way_anova
Read-onlyIdempotent
Test whether three or more independent groups have different means, returning F-statistic, p-value, and citation to identify if any group stands out.
Instructions
Test whether three or more independent groups have different means -- e.g. comparing average order value across three marketing channels. A significant result means at least one group differs from the others, not which one -- follow up with pairwise two_sample_t_test calls (correcting for multiple comparisons via bonferroni_correction or benjamini_hochberg_correction) to find which. Returns the F-statistic, between/within degrees of freedom, p-value, a citation, and a warning if within-group df is small.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| alpha | No | significance level for the test (and any confidence interval); default 0.05 | |
| groups | Yes | one list of observations per group; at least 3 groups, each with at least 2 observations |