stats-analysis

Community

Guided statistical analysis for research reporting.

AuthorManfronEnrico
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Statistical analysis planning and reporting can be error-prone and time-consuming; this skill guides researchers to select appropriate tests, perform assumption checks, and produce APA-compliant results.

Core Features & Use Cases

  • Guided test selection for t-tests, ANOVA, regression, correlation, and non-parametric alternatives.
  • Automated assumption checks (normality, homogeneity, independence) with visual diagnostics and actionable recommendations.
  • Power analysis, sample size planning, and effect-size computation with APA-style reporting templates.
  • Use Case: A researcher can plan a study, choose the right tests, and generate a complete manuscript-ready results section.

Quick Start

Provide your dataset and specify the outcome and predictor variables to receive guidance on test selection, diagnostics, and APA-style reporting.

Dependency Matrix

Required Modules

numpypandasscipymatplotlibseaborn

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: stats-analysis
Download link: https://github.com/ManfronEnrico/thesis-manifold/archive/main.zip#stats-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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