Statistical Thinking: A Simulation Approach to Modeling Uncertainty
From the post:
Catalyst Press has just released the second edition of the book Statistical Thinking: A Simulation Approach to Modeling Uncertainty. The material in the book is based on work related to the NSF-funded CATALST Project (DUE-0814433). It makes exclusive use of simulation to carry out inferential analyses. The material also builds on best practices and materials developed in statistics education, research and theory from cognitive science, as well as materials and methods that are successfully achieving parallel goals in other disciplines (e.g., mathematics and engineering education).
The materials in the book help students:

- Build a foundation for statistical thinking through immersion in real world problems and data
- Develop an appreciation for the use of data as evidence
- Use simulation to address questions involving statistical inference including randomization tests and bootstrap intervals
- Model and simulate data using TinkerPlots™ software
Definitely a volume for the short reading list.
Applicable in a number of areas, from debunking statistical arguments in public debates to developing useful models for your clients.