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The Resource Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist, Howard Wainer, National Board of Medical Examiners

Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist, Howard Wainer, National Board of Medical Examiners

Label
Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist
Title
Truth or truthiness
Title remainder
distinguishing fact from fiction by learning to think like a data scientist
Statement of responsibility
Howard Wainer, National Board of Medical Examiners
Creator
Author
Subject
Language
eng
Summary
"Teacher tenure is a problem. Teacher tenure is a solution. Fracking is safe. Fracking causes earthquakes. Our kids are over-tested. Our kids are not tested enough. We read claims like these in the newspaper, often with no justification other than "it feels right." How can we figure out what is right? Escaping from the clutches of truthiness begins with one question: "What's the evidence?" With his usual verve, and disdain for pious nonsense, Howard Wainer offers a refreshing fact-based view of complex problems in altitude of fields, with special emphasis showing in education how to evaluate the evidence, or lack thereof, supporting various kinds of claims. His primary tool is casual inference: how can we convincingly demonstrate the cause of an effect? This wise book is a must-read for anyone who's ever wanted to challenge the pronouncements of authority figures and a captivating narrative that entertains and educates at the same time. "--
Assigning source
Provided by publisher
Cataloging source
DLC
Illustrations
  • illustrations
  • maps
Index
index present
LC call number
BF441
LC item number
.W29 2016
Literary form
non fiction
Nature of contents
bibliography
Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist, Howard Wainer, National Board of Medical Examiners
Label
Truth or truthiness : distinguishing fact from fiction by learning to think like a data scientist, Howard Wainer, National Board of Medical Examiners
Publication
Copyright
Related Contributor
Related Location
Related Agents
Related Authorities
Related Subjects
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781107130579&userID=ebsco-test&password=ebsco-test
Dimensions
24 cm
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3767387'}
Extent
xviii, 210 pages
Isbn
9781107130579
Lccn
2015040736
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
System control number
(OCoLC)932302239

Library Locations

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      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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