statistical-analysis
Category: data-science-and-ml · License: MIT · Version: 1.2 · Includes scripts
Tags: statistics, hypothesis testing, effect sizes, power analysis, APA reporting
When to use it
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.Example requests
Ask your agent in plain language, for example:- “Do a t-test on my two groups?”
- “I have survey_responses.csv with a ‘condition’ column (control, mindfulness, exercise) and a ‘stress_score’ outcome from 187 undergrads. Scores look right-skewed and the exercise group has only 41 people vs 73 in the others. I’m submitting to a psych journal and need the analysis and the results paragraph.”
- “We’re testing whether a new tutoring program improves exam scores. Students were measured before and after the program, and I’m not sure whether I can just say it worked. How should I approach this and what should I report so reviewers are satisfied?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole data-science-and-ml category with /plugin install data-science-and-ml@research-agent-skills.
Related
apa7arborbgpt-paper-searchbulk-rnaseqcell-pressnature-portfoliopathway-enrichmentplos- Skills for machine learning research