Menu

Individual skill

statistical-analysis

0upvotes

按预先确定的分析计划处理天文观测或实验数据，选择统计检验、效应量和区间，检查分组、选择效应、多重检验和不确定性。

skills/statistical-analysis/SKILL.md

Read pinned source

Source commit ac08bad03f26231f0ed8c8462929b28733cf729f

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 4, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
331
Repository last updated
Oct 19, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# 统计分析 Statistical Analysis

## 天文用法

先按 [astronomy.md](astronomy.md) 核对样本单位、时间系统、分组与选择效应。分析计划和数据来源要能追溯，合成结果与真实观测分别报告。


实验设计管"采集前"，这个技能管"采集后"：把数据变成可报告、可复核的统计结论。核心纪律是
**按预注册的分析计划做验证性分析**——计划里写了什么检验就跑什么检验，临时起意的探索要标注
exploratory，不能事后当成验证性结果报告。

> 所有数值由 `scripts/run_stat_tests.py` 计算（封装 scipy/statsmodels），模型不徒手估计
> 统计量。每个检验同时返回效应量、95% 置信区间、前提检查结果和一句证据边界提示。