From jeremylongshore-claude-code-plugins-plus-skills
Calculates statistical significance for data analytics tasks, providing step-by-step guidance, production-ready code, configurations, and validation for statistical analysis, SQL queries, visualizations, and BI.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for statistical significance calculator tasks within the Data Analytics domain.
Conducts statistical hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian analyses, power analysis, assumption checks, and APA reporting for academic research data.
Guides statistical test selection, assumption checks, power analysis, hypothesis tests (t-tests, ANOVA, chi-square, regression, Bayesian), effect sizes, and APA-formatted reports for research data.
Conducts statistical hypothesis tests including t-tests, chi-square, ANOVA, Mann-Whitney U using Python's scipy.stats for p-value analysis, significance testing, and A/B validation.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for statistical significance calculator tasks within the Data Analytics domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with statistical significance calculator" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the Data Analytics skill category. Tags: sql, analytics, visualization, statistics, bi