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Statistical Analysis Skill by @K-Dense-AI

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github stars★ 55,163updatedOct 2026repo@K-Dense-AI

activity (commits, last 6 months)

6mo ago2

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$git clone https://github.com/K-Dense-AI/scientific-agent-skills

The skill is the skills/statistical-analysis folder inside that repository. Copy it into the folder your agent loads skills from; check your agent's documentation for where that is.

about Statistical Analysis Skill by @K-Dense-AI

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives.

our take

Guided statistics for research data: choosing a test, checking assumptions, effect sizes, power analysis, Bayesian alternatives and APA-formatted reporting.

when to use it

You are unsure which statistical test fits your data
You need assumption checks and effect sizes reported
You write results in APA style

before you install

Have a statistician review high-stakes analysis
A test chosen after seeing results can mislead, so decide your approach first

what's inside

The original SKILL.md is organised into these sections:

Overview
When to Use This Skill
Installation
Analysis Workflow
Test Selection Guide
Quick Reference: Choosing the Right Test
Assumption Checking
What to Do When Assumptions Are Violated
Running Statistical Tests
T-Test with Complete Reporting
ANOVA with Post-Hoc Tests
Linear Regression with Diagnostics

source and license

Written and maintained by @K-Dense-AI. It is published under the MIT license, which allows reuse with attribution. SkillDirectory does not claim authorship: this page adds our own review and links back to the original, and the skill's text belongs to its author.

View the full SKILL.md on GitHub ↗

Read the opening of the original SKILL.md

# Statistical Analysis

## Overview

Conduct hypothesis tests (t-tests, ANOVA, chi-square), regression, correlation, and Bayesian analyses with systematic assumption checking, effect sizes, and APA-style reporting. Define the estimand and sampling units, diagnose model limitations, and report effect estimates with uncertainty. Numerical screens cannot certify assumptions or scientific validity.

## When to Use This Skill

Use this skill when:
- Conducting statistical hypothesis tests (t-tests, ANOVA, chi-square, non-parametric)
- Performing regression or correlation analyses
- Running Bayesian statistical analyses
- Checking statistical assumptions and diagnostics
- Calculating effect sizes and conducting power analyses
- Reporting statistical results in APA format
- Analyzing experimental or observational data for research

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## Installation
…

Excerpt only, quoted from the author's repository. Open the repository for the complete file.

↓ download .zip