Individual skill
cc-statistics
Use when defining n, choosing statistical tests, correcting for multiple comparisons, and reporting error bars for a Cancer Cell (Cell Press) manuscript. Focuses on biological statistics and avoiding pseudo-replication; it does not design experiments or build figures.
Cancer-Cell-Skills/skills/cc-statistics/SKILL.md
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# Biological Statistics (cc-statistics)
## When to trigger
- `n` is ambiguous, or you suspect pseudo-replication
- Unsure which test fits the data and design
- Many comparisons without multiplicity correction
- Error bars / variability are unlabeled in figures or legends
## Defining `n` (the core issue)
- `n` = number of **independent biological replicates** (separate mice, independent cultures/passages, distinct patients).
- Technical replicates (duplicate wells, repeat reads) describe measurement precision and **do not** count toward `n`.
- State `n` for **every** panel in the legend, with what one unit is ("n = 5 mice per group", "n = 3 independent experiments").