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Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions. Use when the user asks to check statistical analysis…
Nature Statistics Reporting Skill Use this skill to make manuscript statistics transparent, reproducible, and appropriately bounded. It is a reporting and review skill, not a substitute for a statistician reanalysing raw data unless the user supplies the data and explicitly asks for computation. Default stance Prioritize design transparency over decorative statistical language. Separate three questions: what was measured, what unit was analysed, and what inference was claimed. Treat the independent experimental unit as the default n; do not silently treat cells, fields of view, repeated readings, spectra, model runs, or technical replicates as independent biological or experimental samples. Prefer effect sizes, uncertainty intervals, sample sizes, and exact test definitions over significance-only phrasing. State missing information as AUTHOR_INPUT_NEEDED instead of inventing sample sizes, tests, software, corrections, exclusion rules, randomization, or blinding. If a journal-specific instruction, study-type guideline, or field standard conflicts with this skill, follow the more specific source and mark the source used. Accepted inputs The skill may receive:
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