statistical-analysis
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
Security Assessment
About statistical-analysis
The statistical-analysis skill provides a comprehensive toolkit for performing statistical analysis, designed to facilitate academic research by enabling users to conduct hypothesis tests, regression analyses, and Bayesian statistics. It addresses the common challenges researchers face when trying to validate hypotheses and quantify relationships in their data, ensuring that users can make informed decisions based on statistical evidence. By integrating various statistical methods into one skill, it simplifies the analysis process and helps users avoid potential pitfalls associated with statistical testing.
FAQ
How do I select the appropriate statistical test?
You can refer to the Test Selection Guide for a comprehensive overview of choosing the right test based on your data characteristics and research questions.
Does this skill support Bayesian statistics?
Yes, the skill includes Bayesian alternatives for all statistical tests, allowing for direct probability statements and Bayes Factors.
What types of data can I analyze with this skill?
This skill is suitable for analyzing both experimental and observational data, encompassing various data types such as continuous and binary outcomes.
Do I need to check assumptions before running tests?
Yes, it is crucial to verify all relevant assumptions before interpreting the results of any statistical tests.
Is there a limit to the number of samples I can analyze?
While the skill can handle a wide range of sample sizes, conducting a priori power analyses can help determine the required sample size for specific tests.
Install statistical-analysis
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
davila7/claude-code-templates