Start here: Welcome to PyStatsV1 (v0.17.0)

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

The issue contains a project welcome and setup overview but names no file or documentation change. Read CHAPTERS.md and ROADMAP.md first, then clarify which onboarding content should be added or revised and what completed documentation should cover.