Individual skill

science-statistics-choice

Use when you have data and must decide which test to run — when someone asks "该用什么检验", when a reviewer says the analysis does not match the design, when assumptions are violated and you need the honest fallback instead of the convenient one, when the effect size or correction method is missing from the results, or when a p-value is being asked to carry a claim it cannot carry; also use before data collection to size the study, and when interpreting a result that is significant but tiny.

dsh-science/skills/science/science-statistics-choice/SKILL.md

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# 统计选择：设计决定检验，假设决定能不能用

## 三条不能破的铁律

1. **检验由设计决定，不由数据长什么样决定。**
   先有 `design`（几组、配对否、结局类型、是否重复测量），才有候选检验。
   拿到数据后试三种检验挑 p 最小的，那不是分析，是搜索。
2. **假设不满足时必须降级，不能默认继续。**
   每个检验都带 `assumptions` 与 `fallback`。假设没查或不满足，正确动作是
   **换 fallback 检验并在正文说明**，而不是「反正结果差不多」。
3. **p 值不是效应量。** 报告必须同时给：检验统计量、自由度、p、效应量、效应量的置信区间。
   缺效应量的结果在顶刊会被直接退回补充。

## 决策树怎么走