name: statistical-test-selector
description: Skill for selecting appropriate statistical tests for analyses
allowed-tools:
- Read
- Write
- Bash
metadata:
specialization: scientific-discovery
domain: science
category: Data Analysis
skill-id: SK-SCIDISC-017
graph:
domains: [domain:scientific-discovery]
specializations: [specialization:scientific-research-methods]
skillAreas: [skill-area:data-analysis, skill-area:statistical-analysis, skill-area:deep-web-research]
workflows: [workflow:experiment-design, workflow:peer-review-cycle]
roles: [role:research-engineer, role:computational-scientist]
Statistical Test Selector Skill
Purpose
Select appropriate statistical tests based on data characteristics, research questions, and study design assumptions.
Capabilities
- Assess data characteristics
- Match tests to questions
- Check assumptions
- Recommend alternatives
- Justify selections
- Document rationale
Usage Guidelines
- Describe research question
- Characterize data
- Check assumptions
- Identify candidate tests
- Select optimal test
- Document rationale
Process Integration
Works within scientific discovery workflows for:
- Analysis planning
- Methods selection
- Assumption checking
- Statistical consulting
Configuration
- Test database
- Assumption checks
- Decision trees
- Output formatting
Output Artifacts
- Test recommendations
- Assumption reports
- Selection rationale
- Alternative suggestions