Quantitative Reasoning in Biology

Quantitative Reasoning in Biology#

Applied Biostatistics for Life Sciences

Master Statistical Analysis in Biology 🧬

Transform complex biological data into meaningful insights with hands-on statistical methods designed specifically for life sciences research.

Perfect for: Graduate students, researchers, and professionals in microbiology, immunology, and related fields.


What You’ll Learn#

📊 Statistical Foundations

Master essential statistical concepts including hypothesis testing, confidence intervals, and experimental design tailored for biological research.

🔬 Real-World Applications

Work with authentic biological datasets from microbiology and immunology research to solve practical problems you’ll encounter in your career.

💻 Hands-On Analysis

Learn statistical analysis using modern tools including Python and Google Colab with step-by-step guided tutorials.

📈 Research Skills

Develop critical thinking skills for experimental design, data interpretation, and scientific communication of statistical results.


Get Started#

Get Oriented

🚀 How to Use This Book

Navigate the interactive features, annotations, and resources to maximize your learning.

How to use this book

Key Features#

🎯 Contextual Learning

Every statistical concept is introduced within authentic biological scenarios, making abstract concepts concrete and memorable.

🔄 Interactive Content

Jupyter notebooks are wonderful exploratory tools for modern large datasets.

📚 Searchable Reference

Quickly find and review past content with full-text search capabilities, perfect for exam prep and research projects.

🔬 Research-Ready

Develop skills directly applicable to your thesis research, lab work, and professional scientific practice.


Extra#

Meet Dr. Dampier

👨‍🏫 About the Author

Learn about the educator and researcher behind this textbook, including his teaching philosophy and research background.

About the Author

MIIM-517 Details

🏫 Course Information

Information about the Drexel course this book accompanies and how to adopt it for your own institution.

Course Information

License & Usage#

The contents of this book are freely available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

This means you can:

  • ✅ Share and redistribute the material

  • ✅ Use for educational purposes

  • ✅ Reference in your own work

With these conditions:

  • 📝 Provide appropriate attribution

  • 🚫 No commercial use

  • 🚫 No derivative works

1st Edition • Last Updated: 2024