skills.rest
dotruru
dotruruCOMMUNITY
Explore all skills by this author →
GitHub

statistical-analysis

Select statistical tests and generate APA-style reporting templates.

Updated Apr 14, 2026
Search Tags:#statistics#regression#assumptions#data-analysis#t-test#anova#apa
One-click install
npx skills add https://github.com/dotruru/claudemd --skill statistical-analysis-dotruru
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: statistical-analysis
Source: https://github.com/dotruru/claudemd/tree/main/skills/statistical-analysis
Command: npx skills add https://github.com/dotruru/claudemd --skill statistical-analysis-dotruru

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill helps researchers plan, run, and report statistical analyses with automatic assumption checks, test guidance, and APA-style reporting to streamline scholarly workflows.

Core Features & Use Cases

  • Test selection and planning: guides choosing appropriate statistical tests based on research questions and data characteristics.
  • Assumption checking: automates normality, homogeneity of variance, and other checks with diagnostic visuals.
  • Statistical testing: supports t-tests, ANOVA, regression, correlations, and Bayesian alternatives with comprehensive diagnostics.
  • Effect sizes and reporting: computes and interprets effect sizes with confidence intervals and APA-ready narratives.
  • Power analysis: performs a priori planning and sensitivity analyses to inform study design.
  • Reproducibility: provides structured workflows, references, and scripts to ensure replicable analyses.

Quick Start

Load your dataset and run comprehensive assumption checks, then generate an APA-style statistical report.

Frequently Asked Questions about statistical-analysis

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

FAQPage Schema
How do I choose the right statistical test for my dataset and research question?▼

Choosing the right statistical test involves evaluating your data characteristics and research question. This skill automates normality, variance homogeneity, and independence checks to guide selection among t-tests, ANOVA, regression, and non-parametric options.

Can I generate APA-style reports with effect sizes and confidence intervals automatically?▼

You can generate APA-style reports automatically. The skill computes effect sizes with confidence intervals and produces polished, manuscript-ready write-ups alongside comprehensive statistical diagnostics and power analyses.

What's the best way to check statistical assumptions like normality and variance homogeneity before running an ANOVA?▼

The best way to check assumptions is using automated diagnostic visuals. This skill systematically tests normality and variance homogeneity, providing visual diagnostics to validate data before running ANOVA or regression.

Does this statistical analysis workflow support power analysis for study planning?▼

Yes, the statistical analysis workflow supports power analysis. It performs a priori planning and sensitivity analyses to inform study design, ensuring adequate statistical power before data collection.

How do I run comprehensive statistical diagnostics and reproduce results using pandas and scipy?▼

You run comprehensive statistical diagnostics by loading your dataset into pandas and utilizing scipy for testing. This skill provides structured scripts and references to ensure replicable analyses, producing descriptive statistics and effect sizes.

Related Skills

Explore More Education & Research Skills→
JayRHaJayRHa
3

pandas-data-cleaning

Clean messy tabular datasets with pandas using auditable transformation steps.

Community
Advanced
crazymsncrazymsn
22

statistical-analysis

Analyze scientific datasets with statistical tests and APA-formatted reports.

Community
Advanced
jaechang-hitsjaechang-hits
298

seaborn-statistical-plots

Generate statistical visualizations from pandas DataFrames using Seaborn.

Community
Intermediate
diegoscarabellidiegoscarabelli
9

statistical-analysis

Analyze quantitative data with hypothesis testing and Bayesian modeling.

Community
Advanced