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statistical-analysis

Automate statistical analysis workflows from data audit to APA-style reporting.

558|75|Updated Dec 18, 2025
Search Tags:#reliability#regression#statistical-analysis#data-audit#assumption-checks#chi-square#apa-report
One-click install
npx skills add https://github.com/winstonkoh87/Athena-Public --skill statistical-analysis-winstonkoh87
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: statistical-analysis
Source: https://github.com/winstonkoh87/Athena-Public/tree/main/examples/skills/research/statistical-analysis
Command: npx skills add https://github.com/winstonkoh87/Athena-Public --skill statistical-analysis-winstonkoh87

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a repeatable, auditable pipeline for statistical analyses to prevent assumption violations, misinterpretation, and missing effect sizes in client deliverables.

Core Features & Use Cases

  • 5-Step Data Audit to Results: From data loading and profiling to assumption checks, test planning, execution, and client-ready reporting.
  • Supports common tests: reliability (Cronbach's alpha), Chi-square, Pearson/Spearman correlations, regression, t-tests, ANOVA.
  • Real-world use: generating a full analysis report for a client SPSS assignment, with APA-format results and interpretation.

Quick Start

Run the 5-step pipeline on a dataset to generate a complete analysis report.

Frequently Asked Questions about statistical-analysis

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

FAQPage Schema
How do I run a full statistical analysis workflow from data audit to reporting?▼

A statistical analysis workflow can be automated end-to-end by running a structured 5-step pipeline covering data loading, profiling, assumption checks, test planning, execution, and client-ready reporting.

How do I generate APA-style results with effect sizes for a regression analysis?▼

Generating APA-style results with effect sizes for regression analysis is handled automatically during the reporting step, which enforces stepwise hypothesis testing and interpretation formatting.

Can I use this structured pipeline for statistical analysis in SPSS, R, and Python?▼

Yes, this structured statistical analysis pipeline supports SPSS, R, and Python, applying stepwise hypothesis testing and reliability checks across these environments for client deliverables.

What statistical tests are supported for assumption checks and hypothesis testing?▼

Supported statistical tests for assumption checks and hypothesis testing include reliability (Cronbach's alpha), Chi-square, Pearson/Spearman correlations, regression, t-tests, and ANOVA.

Why does my statistical report fail to include assumption checks and reliability tests?▼

Statistical reports often miss reliability tests and assumption checks without a structured pipeline, which this approach prevents by enforcing stepwise hypothesis testing and data audits before execution.

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