The Seven Pillars of Statistical Wisdom
Fall (14 hours or more) | This course is completed
No Class: October 15
Statistics is often presented as a series of rules and procedures. However, it is a far richer subject than these formalities suggest. This course will emphasize the “why we do it” rather than the “how to.” For example, people resisted taking averages, because an average meant you were throwing away information. You were turning carefully measured numbers into one number, ignoring the details surrounding each number. Stephen Stigler, in the first chapter of The Seven Pillars of Statistical Wisdom, describes how this controversy evolved into our present-day acceptance of averages and linear regression.
We will read and discuss Stigler’s book. My role will be to guide the discussion and clarify points in the text. Each class will be devoted to understanding one pillar and how it developed. In the final class, we will try to put what we have learned into a coherent view of how statistics helps us understand the world.
- The Seven Pillars of Statistical Wisdom (ISBN: 978-0674088917) by Stephen M. Stigler.
George Angwin
George Angwin, earned a PhD in mathematics from the University of Chicago. He has been an electronics technician on a U.S. Navy destroyer and a college mathematics professor. As a Silicon Valley engineer, he created an algorithm for a mouse-like scanner to collect an image and stitch the pieces together. He also designed data structures for digital road maps now used by Google and Apple. Lately, he publishes his wife’s books and is developing the theory and practice of cage sudoku puzzles.