Start here: Welcome to PyStatsV1 (v0.17.0) #68
Description
Start here: Welcome to PyStatsV1 (v0.17.0) 🎓📊
Welcome! PyStatsV1 is an open-source project that ports applied statistics case studies
(from an R-based textbook) into modern Python scripts and reproducible workflows.
The goal: give students and instructors working, well-documented examples they can
clone, run with make, and adapt to their own teaching and learning.
🔍 What’s in the repo?
PyStatsV1 currently includes:
Chapter 13 — Experimental Designs
- Stroop within-subject reaction-time study
- 2×2 fitness mixed-design study (mixed effects)
Chapter 14 — Classic A/B Test
- Tutoring study with two-sample t-test
- Simulator + analyzer with reproducible workflow
Chapter 15 — Reliability & Psychometrics
- Cronbach’s alpha for survey internal consistency
- Intraclass correlation (ICC) for test–retest reliability
- Bland–Altman plot for agreement
See:
- 📄 CHAPTERS.md — chapter-by-chapter catalog
- 🗺 ROADMAP.md — future chapters & milestones
🧰 How to run things locally
Requirements:
- Python 3.10+
git- Recommended: VS Code, PyCharm, or any editor
Clone and set up:
git clone git@github.com:pystatsv1/PyStatsV1.git
cd PyStatsV1
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt