|
Product Description
We live in a world that is not quite "right." The central tenet of statistical inquiry is that Observation = Truth + Error because even the most careful of scientific investigations have always been bedeviled by uncertainty. Our attempts to measure things are plagued with small errors. Our attempts to understand our world are blocked by blunders. And, unfortunately, in some cases, people have been known to lie.
In this long-awaited follow-up to his well-regarded bestseller, The Lady Tasting Tea, David Salsburg opens a door to the amazing widespread use of statistical methods by looking at historical examples of errors, blunders and lies from areas as diverse as archeology, law, economics, medicine, psychology, sociology, Biblical studies, history, and war-time espionage. In doing so, he shows how, upon closer statistical investigation, errors and blunders often lead to useful information. And how statistical methods have been used to uncover falsified data.
Beginning with Edmund Halley’s examination of the Transit of Venus and ending with a discussion of how many tanks Rommel had during the Second World War, the author invites the reader to come along on this easily accessible and fascinating journey of how to identify the nature of errors, minimize the effects of blunders, and figure out who the liars are.
Customers Who Bought This Item Also Bought
- Measuring Society (ASA-CRC Series on Statistical Reasoning in Science and Society)
- Data Visualization: Charts, Maps, and Interactive Graphics (ASA-CRC Series on Statistical Reasoning in Science and Society)
- The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century
- Statistics Done Wrong: The Woefully Complete Guide
- Naked Statistics: Stripping the Dread from the Data
- The Seven Pillars of Statistical Wisdom
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
- Statistics in a Nutshell (In a Nutshell (O'Reilly))
- How to Lie with Statistics
- Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
*If this is not the "Errors, Blunders, and Lies: How to Tell the Difference (ASA-CRC Series on Statistical Reasoning in S" product you were looking for, you can check the other results by clicking this link. Details were last updated on Dec 16, 2024 22:23 +08.