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Statistical Test Selection Guide
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
The Solution
How It Works
- 1 Describe your research or business question and what you're trying to find out
- 2 Answer clarifying questions about data type, number of groups, pairing, sample size, and study design
- 3 Receive recommended statistical test with clear rationale based on your data characteristics
- 4 Review assumption checking guidance with Python code for validating test prerequisites
- 5 Get copy-paste ready Python code to run the test with your data
- 6 Obtain effect size calculations, confidence intervals, and interpretation guidelines
- 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)
Get This Skill
Requires Pro subscription ($9/month)
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