Includes bibliographical references (pages 237-245) and index.
Contents:
Introduction -- Are you normal? : hint: no -- Relay races and revolving doors -- Defy tradition, save the world -- Extremes, outliers, and GOATs -- Better than new -- Jumping to conclusions -- Causation, collision, and confusion -- The long tail of disaster -- Fairness and fallacy -- Penguins, pessimists, and paradoxes -- Changing hearts and minds -- Chasing the Overton window -- Epilogue.
Summary:
"Teacher, data scientist, and blogger Allen B. Downey knows well that the human mind has both an innate ability to understand statistics and to be fooled by them. Statistically speaking, you will be less popular than your friends, arrive at a train station during a gap in service, and fail to find a running mate in a race. But more than surprising us, errors in statistical thinking, Downey shows, can have a huge impact. Statistical confusion has led to incorrect patient prognoses, caused mistakes in predicting disasters like earthquakes, hurt vaccination programs, hindered social justice efforts, and led to dubious policy decisions. Written for those who may have once taken a statistics course, but now forget almost everything they've learned, the book includes a diversity of examples that use real data and have real world impacts. Building understanding incrementally, Downey engagingly and accessibly helps readers understand what we might learn when we get the mathematics right, and the consequences when we get it all wrong"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.