Statistical Test Selection Guide

Pro v1.0.0 1 view

Interactive statistical advisor that helps choose the right statistical test for your research or business analysis, then provides assumption checks, Python code, effect sizes, and reporting templates.

What You Get

Get expert guidance on choosing and running the right statistical test for your research or business data, with copy-paste Python code and professional reporting templates.

The Problem

You need to analyze your data statistically but aren't sure which test is appropriate for your research question, data type, and study design. Choosing the wrong test can invalidate your results, while manually learning about dozens of statistical tests and their assumptions is overwhelming.

The Solution

This skill acts as an interactive statistical advisor that asks clarifying questions to understand your research question, data characteristics, study design, and sample size. Based on your responses, it recommends the most appropriate statistical test with clear rationale, covering t-tests, ANOVA, chi-square, regression, correlation, and non-parametric alternatives. You receive comprehensive guidance including assumption checking procedures with Python code, copy-paste ready code to run the test, effect size calculations and interpretations, and alternative tests when assumptions are violated. The skill adapts its language and reporting format based on whether you're doing academic research or business analytics.

How It Works

  1. 1 Describe your research or business question and what you're trying to find out
  2. 2 Answer clarifying questions about data type, number of groups, pairing, sample size, and study design
  3. 3 Receive recommended statistical test with clear rationale based on your data characteristics
  4. 4 Review assumption checking guidance with Python code for validating test prerequisites
  5. 5 Get copy-paste ready Python code to run the test with your data
  6. 6 Obtain effect size calculations, confidence intervals, and interpretation guidelines
  7. 7 Receive reporting templates in APA format for academics or executive summary for business users

What You'll Need

  • Basic description of your research question or business problem
  • Information about your data characteristics (continuous, categorical, sample size)
  • Study design details (independent groups, paired data, number of groups)
  • Python environment to run the provided code examples (scipy, statsmodels, numpy)