Gerd Gigerenzer's Reckoning with Risk: Learning to Live with Uncertainty illustrates how we can learn to make sense of statistics and turn ignorance into insight. However much we want certainty in our lives, it feels as if we live in an uncertain and dangerous world. But are we guilty of wildly exaggerating the chances of some unwanted event happening to us? Are we misled by our ignorance of the reality of risk? Far too many of us, argues Gerd Gigerenzer, are hampered by our own innumeracy, w...

Engineering Mathematics with Examples and Applications provides a compact and concise primer in the field, starting with the foundations, and then gradually developing to the advanced level of mathematics that is necessary for all engineering disciplines. Therefore, this book's aim is to help undergraduates rapidly develop the fundamental knowledge of engineering mathematics. The book can also be used by graduates to review and refresh their mathematical skills.

Step-by-step worked examples w...

A springboard for success in Calculus.

With a unique framework and a fresh approach Preparation for Calculus equips students with the necessary skills and confidence to succeed in their foundational calculus course and beyond. The authors focus on challenges observed in the modern classroom to create an accessible resource that will help students develop strong calculation skills and mathematical sophistication.

A daily glass of wine prolongs life-yet alcohol can cause life-threatening cancer. Some say raising the minimum wage will decrease inequality while others say it increases unemployment. Scientists once confidently claimed that hormone replacement therapy reduced the risk of heart disease but now they equally confidently claim it raises that risk.

What should we make of this endless barrage of conflicting claims? Observation and Experiment is an introduction to causal inference by one of the f...

This book brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, it is an ideal resource for advanced undergraduate statistics students and practitioners with comparable experience. It empowers readers to weave Bayesian approaches into their everyday practice.