Parents are rebelling against the Common Core, even though its approach - fostering intuition through real-world examples - is the best way to teach math to kids. The real problem: No one has shown the teachers how to teach it.
Simon Singh uses mathematical tidbits planted by the nerds and geeks who write The Simpsons to lead the reader on an excursion through some amazing mathematics. The book will appeal to the kind of person who might read JCE, and others with some mathematical background and interest.
Lots of us learned about percentages and statistics by studying batting averages, and many of our students are passionately choosing players for fantasy leagues in various sports. Is it possible to find methods for the evaluation of players in soccer using methods similar to those in "Moneyball"? This question and many others are addressed in "Soccernomics"
New York Times blogger Nate Silver demonstrates how probability and statistical thinking can be used to analyze practical problems in our society. A lively, practical, and informative book!
Imagine a highly reliable cancer test. It detects 95% of a certain type of cancer, and has a "false positive" rate of only 1%. This test is used on a population in which this type of cancer occurs in 0.5%. One day your doctor tells you that you have tested positive. What is the chance that you are actually sick? Surprisingly, it is only about 32 percent!
Having just returned from the Gordon Research Conference on Chemical Education Research and Practice, I can attest to the central role that statistics plays in chemical education.
This beautiful book could certainly enhance your coffee table, but don't buy it just for its looks. Be prepared to spend some time with it, and join the wonder that mathematicians are expressing at the brilliance of this new way of describing and inventing symmetries.
I am an enthusiastic fan of Brian Hayes' "Computing Science" column in the Sigma Xi publication, American Scientist, which is the source of most of the essays in this book. Before that, I read his articles in The Sciences, a now-defunct but beautiful little magazine once published by the New York Academy of Sciences.
George Gamow introduced me to Monte Carlo methods in a chapter of "One Two Three Infinity" (Hal's Pick of April, 2001) that I first read when I was about twelve. His vivid description and witty illustration of the path of a staggering drunk comes clearly to mind even these many decades later, and it surely inspired my research on a number of projects.