Statistical Analysis
spacering-net/codeg
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting.
통계 검정 선택 의사결정 트리, 검정별 가정/공식/해석 가이드, 효과 크기와 검정력 분석. An agent skill from revfactory/harness-100.
Install Statistical Tests Selector
$ npx skills add revfactory/harness-100 --skill statistical-tests-selector -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 statistical-tests-selector --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/32-data-analysis/.claude/skills/statistical-tests-selector .claude/skills/statistical-tests-selector && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "statistical-tests-selector" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/32-data-analysis/.claude/skills/statistical-tests-selector into .claude/skills/statistical-tests-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-tests-selector", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/revfactory/harness-100/tree/main/ko/32-data-analysis/.claude/skills/statistical-tests-selectorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add revfactory/harness-100 --skill statistical-tests-selector -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 statistical-tests-selector --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ko/32-data-analysis/.claude/skills/statistical-tests-selector .agents/skills/statistical-tests-selector && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "statistical-tests-selector" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/32-data-analysis/.claude/skills/statistical-tests-selector into .agents/skills/statistical-tests-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-tests-selector", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill statistical-tests-selector -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 statistical-tests-selector --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ko/32-data-analysis/.claude/skills/statistical-tests-selector .cursor/skills/statistical-tests-selector && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "statistical-tests-selector" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/32-data-analysis/.claude/skills/statistical-tests-selector into .cursor/skills/statistical-tests-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-tests-selector", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/revfactory/harness-100.git --path ko/32-data-analysis/.claude/skills/statistical-tests-selector--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add revfactory/harness-100 --skill statistical-tests-selector -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 statistical-tests-selector --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ko/32-data-analysis/.claude/skills/statistical-tests-selector .gemini/skills/statistical-tests-selector && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "statistical-tests-selector" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/32-data-analysis/.claude/skills/statistical-tests-selector into .gemini/skills/statistical-tests-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-tests-selector", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install revfactory/harness-100 statistical-tests-selectorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add revfactory/harness-100 --skill statistical-tests-selector -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/ko/32-data-analysis/.claude/skills/statistical-tests-selector .github/skills/statistical-tests-selector && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "statistical-tests-selector" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/32-data-analysis/.claude/skills/statistical-tests-selector into .github/skills/statistical-tests-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-tests-selector", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill statistical-tests-selector -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 statistical-tests-selector --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ko/32-data-analysis/.claude/skills/statistical-tests-selector .opencode/skills/statistical-tests-selector && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "statistical-tests-selector" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/32-data-analysis/.claude/skills/statistical-tests-selector into .opencode/skills/statistical-tests-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-tests-selector", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
statistical-tests-selector- GitHub stars
- 1.3k
- Token cost
- ~969 tokens
- SKILL.md length
- 120 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
통계 검정 선택 의사결정 트리, 검정별 가정/공식/해석 가이드, 효과 크기와 검정력 분석. An agent skill from revfactory/harness-100.
- Tasks that involve Statistics
- SKILL.md covers 검정 선택 의사결정 트리, 핵심 검정 상세, 다중 비교 보정 and 검정력 분석, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Statistical Tests Selector is an agent skill from revfactory/harness-100. 통계 검정 선택 의사결정 트리, 검정별 가정/공식/해석 가이드, 효과 크기와 검정력 분석. '통계 검정', 't-검정', 'ANOVA', '카이제곱', '상관분석', 'p-value', '가설 검정', '정규성 검정', '비모수 검정', '효과 크기' 등 통계 분석 방법 선택 시 이 스킬을 사용한다. analyst의 통계 분석 역량을 강화한다. 단, 데이터 정제나 시각화는 이 스킬의 범위가 아니다.
Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Statistics. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Statistics
Example prompts
- “p-value”
- “/statistical-tests-selector”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Statistical Tests Selector loads about 969 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 120 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 120 words, ~969 tokens.
Download SKILL.mdSave it as
.claude/skills/statistical-tests-selector/SKILL.md (or your agent's skills folder).- name
- statistical-tests-selector
- description
- 통계 검정 선택 의사결정 트리, 검정별 가정/공식/해석 가이드, 효과 크기와 검정력 분석. '통계 검정', 't-검정', 'ANOVA', '카이제곱', '상관분석', 'p-value', '가설 검정', '정규성 검정', '비모수 검정', '효과 크기' 등 통계 분석 방법 선택 시 이 스킬을 사용한다. analyst의 통계 분석 역량을 강화한다. 단, 데이터 정제나 시각화는 이 스킬의 범위가 아니다.
Statistical Tests Selector — 통계 검정 선택 가이드
데이터 유형과 분석 목적에 따라 적절한 통계 검정을 선택하고 해석하는 가이드.
검정 선택 의사결정 트리
비교할 것이 무엇인가?
├── 두 그룹의 평균 차이
│ ├── 독립 표본 → 정규 분포? → Yes: 독립 t-검정
│ │ → No: Mann-Whitney U
│ └── 대응 표본 → 정규 분포? → Yes: 대응 t-검정
│ → No: Wilcoxon 부호순위
├── 세 그룹 이상 평균 차이
│ ├── 독립 → 정규 분포? → Yes: One-way ANOVA → 사후: Tukey HSD
│ │ → No: Kruskal-Wallis → 사후: Dunn
│ └── 반복 측정 → Repeated Measures ANOVA / Friedman
├── 두 변수의 관계
│ ├── 연속 × 연속 → 선형? → Yes: Pearson 상관
│ │ → No: Spearman 순위 상관
│ └── 범주 × 범주 → 카이제곱 독립성 검정
├── 비율 차이
│ ├── 두 그룹 → Z-검정 (비율)
│ └── 세 그룹 이상 → 카이제곱 동질성 검정
└── 분포 검정
├── 정규성 → Shapiro-Wilk (n<5000) / K-S test
└── 등분산 → Levene's test / Bartlett's test핵심 검정 상세
독립 표본 t-검정
from scipy import stats
# 가정 확인
# 1. 정규성
stat, p = stats.shapiro(group_a)
print(f"정규성 검정: p={p:.4f}")
# 2. 등분산
stat, p = stats.levene(group_a, group_b)
print(f"등분산 검정: p={p:.4f}")
# 검정 수행
if levene_p >= 0.05:
t, p = stats.ttest_ind(group_a, group_b) # 등분산
else:
t, p = stats.ttest_ind(group_a, group_b, equal_var=False) # Welch
# 효과 크기 (Cohen's d)
d = (group_a.mean() - group_b.mean()) / np.sqrt(
((len(group_a)-1)*group_a.std()**2 + (len(group_b)-1)*group_b.std()**2)
/ (len(group_a) + len(group_b) - 2)
)효과 크기 해석
| 지표 | 작음 | 중간 | 큼 |
|---|---|---|---|
| Cohen's d | 0.2 | 0.5 | 0.8 |
| Pearson r | 0.1 | 0.3 | 0.5 |
| eta-squared (η²) | 0.01 | 0.06 | 0.14 |
| Cramer's V | 0.1 | 0.3 | 0.5 |
ANOVA + 사후 검정
# One-way ANOVA
f_stat, p = stats.f_oneway(group_a, group_b, group_c)
if p < 0.05:
# 사후 검정 (어느 그룹 간 차이?)
from statsmodels.stats.multicomp import pairwise_tukeyhsd
tukey = pairwise_tukeyhsd(
endog=all_values, groups=all_labels, alpha=0.05
)
print(tukey.summary())카이제곱 검정
# 독립성 검정 (범주 × 범주)
contingency = pd.crosstab(df['gender'], df['purchase'])
chi2, p, dof, expected = stats.chi2_contingency(contingency)
# 효과 크기 (Cramer's V)
n = contingency.sum().sum()
v = np.sqrt(chi2 / (n * (min(contingency.shape) - 1)))다중 비교 보정
| 방법 | 보수성 | 수식 | 사용 |
|---|---|---|---|
| Bonferroni | 매우 보수적 | α/n | 비교 수 적을 때 |
| Holm-Bonferroni | 보수적 | 단계적 조정 | 범용 |
| Benjamini-Hochberg | 덜 보수적 | FDR 제어 | 탐색적 분석 |
| Tukey HSD | 중간 | ANOVA 사후 | 전체 쌍비교 |
from statsmodels.stats.multitest import multipletests
reject, pvals_corrected, _, _ = multipletests(
p_values, alpha=0.05, method='holm'
)검정력 분석
from statsmodels.stats.power import TTestIndPower
analysis = TTestIndPower()
# 필요 표본 크기 계산
n = analysis.solve_power(
effect_size=0.5, # Cohen's d = 0.5 (중간 효과)
alpha=0.05, # 유의수준
power=0.8, # 검정력 80%
alternative='two-sided'
)
print(f"그룹당 필요 표본 수: {int(np.ceil(n))}")| 효과 크기 | 검정력 80% 필요 n (그룹당) |
|---|---|
| d = 0.2 (작음) | 394 |
| d = 0.5 (중간) | 64 |
| d = 0.8 (큼) | 26 |
p-value 올바른 해석
p = 0.03일 때:
✅ 올바른 해석:
"귀무가설이 참일 때, 이 데이터만큼 극단적인 결과를 관찰할 확률이 3%이다."
❌ 잘못된 해석:
"대립가설이 참일 확률이 97%이다." (베이지안이 아님)
"효과가 크다." (효과 크기는 별도 측정)
"결과가 중요하다." (통계적 유의성 ≠ 실용적 중요성)보고 템플릿
### 분석: A/B 그룹 전환율 비교
**가설**: 새 디자인(B)이 기존(A)보다 전환율이 높다
**검정**: 이표본 비율 z-검정 (단측)
**표본**: A: n=1000, 전환율 5.2% | B: n=1000, 전환율 6.8%
**결과**: z=1.58, p=0.057, 95% CI: [-0.05%, 3.25%]
**효과 크기**: h=0.067 (작음)
**결론**: 유의수준 5%에서 통계적으로 유의미하지 않음 (p=0.057).
검정력 분석: 현재 효과 크기로 80% 검정력 달성에
그룹당 n=3,500 필요. 표본 확대 권장.© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in ko/32-data-analysis/.claude/skills/statistical-tests-selector of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Compare with similar skills
Statistical Tests Selector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Statistical Tests Selector this skillrevfactory/harness-100 | 1.3k | — | ~969 | Automated safety check: Pass | Apache-2.0 | |
| Statistical Analysisspacering-net/codeg | 3.8k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| Statistical Powerspacering-net/codeg | 3.8k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Agent Session Monitorhigress-group/higress | 9.5k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Statistical Tests Selector
What does Statistical Tests Selector do?
통계 검정 선택 의사결정 트리, 검정별 가정/공식/해석 가이드, 효과 크기와 검정력 분석. An agent skill from revfactory/harness-100. Statistical Tests Selector is an agent skill from revfactory/harness-100. 통계 검정 선택 의사결정 트리, 검정별 가정/공식/해석 가이드, 효과 크기와 검정력 분석.
When should I use Statistical Tests Selector?
Statistical Tests Selector fits situations like: tasks that involve Statistics.
How do I install Statistical Tests Selector in Claude Code?
Run `npx skills add revfactory/harness-100 --skill statistical-tests-selector -a claude-code`. Or copy the skill folder (ko/32-data-analysis/.claude/skills/statistical-tests-selector in revfactory/harness-100) into .claude/skills/statistical-tests-selector in your project. Claude Code loads it when a task matches its description.
How do I install Statistical Tests Selector in Codex?
Run `npx skills add revfactory/harness-100 --skill statistical-tests-selector -a codex`. Or copy the skill folder (ko/32-data-analysis/.claude/skills/statistical-tests-selector in revfactory/harness-100) into .agents/skills/statistical-tests-selector in your project. Codex loads it when a task matches its description.
Can I use Statistical Tests Selector in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill statistical-tests-selector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/statistical-tests-selector, .gemini/skills/statistical-tests-selector, .github/skills/statistical-tests-selector and .opencode/skills/statistical-tests-selector in your project.
What does Statistical Tests Selector need to run?
SKILL.md names no scripts, command-line tools or credentials: Statistical Tests Selector is instructions for the agent only. Our summary lists: Python 3.
Does Statistical Tests Selector access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Statistical Tests Selector safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Statistical Tests Selector use?
Statistical Tests Selector is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Statistical Tests Selector use?
About 969 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Statistical Tests Selector?
Skills that share tags, products or a category with Statistical Tests Selector: Statistical Analysis (spacering-net/codeg, 3.8k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.6k stars), AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars) and Statistical Power (spacering-net/codeg, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Statistical Tests Selector?
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.
Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.