skills.rest
dralkh
dralkhCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

statistical-analysis

Select statistical tests and generate APA-style reporting for research data.

74|5|Updated Dec 10, 2025
Search Tags:#hypothesis testing#statistical analysis#power analysis#bayesian statistics#apa reporting#effect sizes#assumption checks
One-click install
npx skills add https://github.com/dralkh/seerai --skill statistical-analysis-dralkh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: statistical-analysis
Source: https://github.com/dralkh/seerai/tree/main/skills/statistical-analysis
Command: npx skills add https://github.com/dralkh/seerai --skill statistical-analysis-dralkh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, scipy, matplotlib, seaborn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill removes the guesswork from statistical analysis by helping you choose the right test, check assumptions, calculate effect sizes and power, and report results clearly for research.

Core Features & Use Cases

  • Test selection and planning: Match research questions to t-tests, ANOVA, chi-square, correlation, regression, or Bayesian alternatives.
  • Assumption checking and diagnostics: Evaluate normality, homogeneity of variance, linearity, and outliers before interpreting results.
  • Effect sizes and power analysis: Quantify practical importance and estimate required sample sizes for study planning.
  • APA-style reporting: Turn analysis output into publication-ready summaries for academic papers, theses, and literature reviews.
  • Use Case: A researcher can load a dataset, verify assumptions, run the appropriate inferential test, and generate a polished results paragraph with effect sizes and confidence intervals.

Quick Start

Ask the statistical-analysis skill to determine the correct test for your dataset, check the assumptions, and draft an APA-formatted results summary.

Frequently Asked Questions about statistical-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right statistical test for my research data?▼

Choosing the right statistical test involves matching your research questions to t-tests, ANOVA, chi-square, correlation, regression, or Bayesian alternatives based on your structured numeric or grouped data.

How do I check statistical assumptions like normality and homogeneity of variance before running tests?▼

Checking statistical assumptions requires evaluating normality, homogeneity of variance, linearity, and outliers in your dataset. This skill performs these diagnostics using Python-based validation before you interpret inferential results.

Can I generate APA-style reporting for hypothesis testing and effect sizes?▼

You can generate APA-style reporting for hypothesis testing by converting analysis output into publication-ready summaries, complete with effect sizes, confidence intervals, and formatted paragraphs for academic papers.

How do I calculate effect sizes and estimate required sample sizes for study planning?▼

Calculating effect sizes and estimating required sample sizes for study planning is supported through built-in power analysis features, which quantify the practical importance of your results and project sampling needs.

Does this statistical analysis workflow support Bayesian statistics and Python visualization?▼

Yes, this statistical analysis workflow supports Bayesian statistics alternatives and Python visualization. It leverages numpy, pandas, scipy, matplotlib, and seaborn for data validation and plotting across academic study workflows.

Related Skills

Explore More Education & Research Skills→
cas-bigdatalabcas-bigdatalab
541

QC8_DataTypeCheck

Verify numeric data types in structured data files with pandas.

Official
Basic
lth0lth0

statistical-analysis

Recommend statistical tests, provide Python code, and format results in APA style.

Community
Intermediate
jasrajtulsijasrajtulsi

statistical-analysis

Select appropriate statistical tests and check assumptions for research data.

Community
Advanced
letta-ailetta-ai
134

mcmc-sampling-stan

Guide Bayesian MCMC sampling with Stan and RStan.

Official
Advanced