statistical-test-selector

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

1. Describe research question
2. Characterize data
3. Check assumptions
4. Identify candidate tests
5. Select optimal test
6. 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