Aims and Scope

There is a growing recognition of the importance of statistical reasoning across many different aspects of everyday life. This is the case now more than ever, in our data-rich world, where the volume, availability, and types of data have increased significantly. It is crucially important that statistical reasoning is introduced to students early in their education, giving them key skills for nearly any career path they choose. Professionals in every field encounter data throughout their working lives, and the ability to reason statistically will enable them to make better evidence-based decisions. For members of the general public, learning how to reason statistically enables them to better understand risk, make decisions in the face of uncertainty, and become more informed citizens.

This exciting book series features:

  • A forum highlighting the important role of statistical and probabilistic reasoning in many areas.
  • Concepts presented while assuming minimal background in Mathematics and Statistics.
  • A broad audience including professionals across many fields, the general public and courses in high schools and colleges.
  • Topics include Statistics in wide-ranging aspects of professional and everyday life, including the media, science, health, society, politics, law, education, sports, finance, climate, and national security.
  • Short and inexpensive books of 100-150 pages that can be written and read in a reasonable amount of time.

Published Titles

Click here to view all books in this series >>

Want to Publish With Us?

If you have an idea for a book for the series, please send us an email or contact one of the series editors.

Series Editors

Nick Fisher
School of Mathematics and Statistics, University of Sydney, Australia

Nicholas Horton
Department of Mathematics and Statistics, Amherst College, USA

Deborah Nolan
Department of Statistics, University of California, Berkeley, USA

Regina Nuzzo
Department of Science, Technology, and Mathematics, Gallaudet University, USA

David Spiegelhalter
Centre for Mathematical Sciences, University of Cambridge, UK