hypothesis-testing

What problem does it solve?

This Skill ensures hypotheses are defined before data exploration, delivering a disciplined, bias-resistant framework for data analysis that supports reproducible conclusions.

Core Features & Use Cases

• Structured hypothesis formulation: Establish H0 and H1 with clear rationale to prevent data-driven bias.
• End-to-end, phased workflow: From problem framing through conclusion and follow-up, with templates for each phase.
• Auditable, reproducible process: Includes standardized documentation (01-08 files) and templates to preserve an audit trail.
• Use cases: Validate business questions, confirm suspected effects, and communicate results with transparent assumptions.

Quick Start

• Define your analytical goal and write H0/H1 using the Phase 1 template.
• Design the test in Phase 2 before any queries and save to 02 - test-design.md.
• Run Phase 3 queries, capture results in 03-06 files, and note data quality issues.
• Interpret results in Phase 4 and finalize findings in Phase 5; update overview.