# scitex-stats

> Use this tool when you need to perform statistical testing and analysis for research publications, as it provides 23 tests, effect sizes, power analysis, and APA formatting to streamline the process. It solves problems related to data analysis, hypothesis testing, and results formatting, making it easier to prepare publication-ready statistics. The tool accepts data inputs and outputs formatted results, suitable for use in academic and research contexts.

Canonical page: https://skillsregistry.net/skills/ywatanabe1989-scitex-stats  
JSON: https://api.skillsregistry.net/v1/skills/ywatanabe1989-scitex-stats

## Description

Publication-ready statistical testing with 23 tests, effect sizes, power analysis, and APA formatting

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/ywatanabe1989/scitex-stats)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ywatanabe1989-scitex-stats"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ywatanabe1989-scitex-stats` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ywatanabe1989-scitex-stats/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt