Basic Statistics for Life Scientists is a clear, concise guide to using statistics responsibly in life science research. Blending rigor with accessibility, it equips readers to choose the right methods for their data, understand the strengths and limitations of statistical tools, and avoid common pitfalls such as misuse of significance testing and pseudoreplication. With real-world examples, illustrations, and practical guidance on statistical software, this essential reference supports students, postdocs, and researchers in confidently applying appropriate statistical techniques to their work.

The book is coauthored by Jakub Tomek, Sir Henry Wellcome Fellow in the Department of Physiology, Anatomy and Genetics at the University of Oxford, and David Eisner, Professor of Cardiac Physiology at the University of Manchester and Editor-in-Chief of The Journal of General Physiology. Together, they bring deep expertise in physiology and decades of experience in research and scientific publishing to this indispensable resource.