Ab Significance — Development skill for Claude Code
显著性判定:输入两组数据,一键跑双比例 z 检验 / t 检验,解读 p 值与置信区间并下结论.
How to install Ab Significance
Installs to ~/.claude/skills/lhg-plugs-lhg-growth-lab-ab-significance/SKILL.md
mkdir -p ~/.claude/skills/lhg-plugs-lhg-growth-lab-ab-significance && curl -fsSL https://raw.githubusercontent.com/lhg-plugs/lhg-growth-lab/HEAD/commands/ab-significance.md -o ~/.claude/skills/lhg-plugs-lhg-growth-lab-ab-significance/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
What Ab Significance does
description: 显著性判定:输入两组数据,一键跑双比例 z 检验 / t 检验,解读 p 值与置信区间并下结论。 argument-hint: --x1 100 --n1 1000 --x2 130 --n2 1000
/lhg-growth-lab:ab-significance —— 显著性判定
用户输入在 `$ARGUMENTS` 中,二选一:
- 转化率类:
--x1 <对照组转化数> --n1 <对照组样本> --x2 <实验组转化数> --n2 <实验组样本> - 均值类:
--mean1 <均值> --sd1 <标准差> --n1 <样本> --mean2 <均值> --sd2 <标准差> --n2 <样本>
加载 skill `lhg-gl-stats` 全程指导解读。
流程
1. 先做资格检查(跑脚本前)
- 样本量达到当初估算的 N 了吗?(没达标 → 先说"样本不够,结论不可信",不许直接算 p 值交差)
- 周期跑满了吗?(提前停 → 标"提前停止,结果可能虚高")
- 分流比例正
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Full documentation available on GitHub
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