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statistical-analysis

Execute statistical analysis plans with t-tests, ANOVA, regression, and Bayesian methods.

1|Updated Apr 8, 2026
Search Tags:#analysis#reporting#statistics#assumptions#bayesian#power-analysis
One-click install
npx skills add https://github.com/brainworkup/skills --skill statistical-analysis-brainworkup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: statistical-analysis
Source: https://github.com/brainworkup/skills/tree/main/neuropsych-reports/references/luria-related-complement-skills/statistical-analysis
Command: npx skills add https://github.com/brainworkup/skills --skill statistical-analysis-brainworkup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, scipy, matplotlib, seaborn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Statistical analysis is streamlined for researchers by guiding test selection, assumption checks, and APA-style reporting to improve rigor and reproducibility.

Core Features & Use Cases

  • Test selection guidance for t-tests, ANOVA, regression, and Bayesian analyses
  • Automated assumption checks and diagnostic visuals
  • APA-formatted reporting templates and example outputs
  • Use cases include academic research, clinical data analysis, and educational studies

Quick Start

Provide a complete analysis plan and generate a publication-ready report for your dataset.

Frequently Asked Questions about statistical-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate APA-formatted statistical reports for my research dataset?▼

The Skill guides test selection and automates assumption checks to produce publication-ready APA-formatted results. It outputs descriptive statistics, effect sizes, diagnostic visuals, and a clear interpretive narrative for rigorous research.

What's the best way to check statistical assumptions before running an ANOVA or regression?▼

The best way to check assumptions is using automated diagnostic visuals and tests integrated into the analysis plan. The workflow validates assumptions before executing ANOVA, regression, or t-tests to ensure rigor and reproducibility.

Can I run Bayesian analysis alongside traditional t-tests in the same workflow?▼

Yes, you can run Bayesian analysis alongside traditional t-tests within the same workflow. The analysis plan applies both frequentist and Bayesian methods, providing structured outputs for comprehensive publication-ready reporting.

Do I need pandas and scipy installed to perform power analysis and statistical testing?▼

Yes, you need pandas and scipy installed along with numpy, matplotlib, and seaborn. These dependencies support data manipulation, statistical testing, power analysis calculations, and the generation of diagnostic visualizations.

When should I use guided statistical analysis instead of writing my own analysis scripts?▼

You should use guided statistical analysis instead of writing custom scripts when you need streamlined test selection, automated assumption checks, and APA-style reporting to improve research rigor and reproducibility without manual formatting.

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