Individual skill
statistical-tests-selector
Statistical test selection decision tree, per-test assumptions/formulas/interpretation guide, effect size, and power analysis. Use this skill for statistical analysis method selection involving 'statistical test', 't-test', 'ANOVA', 'chi-squared', 'correlation analysis', 'p-value', 'hypothesis testing', 'normality test', 'nonparametric test', 'effect size', etc. Enhances the analyst's statistical analysis capabilities. Note: data cleaning and visualization are outside this skill's scope.
en/32-data-analysis/.claude/skills/statistical-tests-selector/skill.md
Source commit 8e8d35c6a19166614d1af1df85512266d51121ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,323
- Repository last updated
- Mar 22, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Statistical Tests Selector — Statistical Test Selection Guide
A guide for selecting and interpreting appropriate statistical tests based on data type and analysis purpose.
## Test Selection Decision Tree
```
What are you comparing?
├── Mean difference between two groups
│ ├── Independent samples → Normal? → Yes: Independent t-test
│ │ → No: Mann-Whitney U
│ └── Paired samples → Normal? → Yes: Paired t-test
│ → No: Wilcoxon signed-rank
├── Mean difference among three or more groups