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Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist

Author: Howard Wainer
Publisher: New York : Cambridge University Press, 2016. ©2016
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

Escaping the clutches of truthiness begins with one simple question: 'what is the evidence?' Howard Wainer shows how the sceptical mindset of a data scientist can expose truthiness, nonsense, and  Read more...

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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Howard Wainer
ISBN: 9781316492079 1316492079 9781316424315 1316424316 9781316491195 1316491196
OCLC Number: 1008628280
Description: 1 recurso en línea (xviii, 210 páginas)
Contents: Part I. Thinking Like a Data Scientist: 1. How the rule of 72 can provide guidance to advance your wealth, your career and your gas mileage; 2. Piano virtuosos and the four-minute mile; 3. Happiness and causal inference; 4. Causal inference and death; 5. Using experiments to answer four vexing questions; 6. Causal inferences from observational studies: fracking, injection wells, earthquakes, and Oklahoma; 7. Life follows art: gaming the missing data algorithm; Part II. Communicating Like a Data Scientist: 8. On the crucial role of empathy in the design of communications: genetic testing as an example; 9. Improving data displays: the media's, and ours; 10. Inside-out plots; 11. A century and a half of moral statistics: plotting evidence to affect social policy; Part III. Applying the Tools of Data Science to Education: 12. Waiting for Achilles; 13. How much is tenure worth?; 14. Detecting cheating badly: if it could have been, it must have been; 15. When nothing is not zero: a true saga of missing data, adequate yearly progress, and a Memphis charter school; 16. Musing about changes in the SAT: is the college board getting rid of the bulldog?; 17. For want of a nail: why worthless subscores may be seriously impeding the progress of western civilization.
Responsibility: Howard Wainer, National Board of Medical Examiners.

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'This book is like the proverbial bag of potato chips. It's impossible to stop reading after just one of its fun and thought-provoking examples of statistical reasoning.' Andrew Gelman, Columbia Read more...

 
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