000			03466nam a22003618i 4500
001			CR9781316424315
003			UkCbUP
005			20200124160216.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			150417s2016||||enk o ||1 0|eng|d
020			_a9781316424315 (ebook)
020			_z9781107130579 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aBF441 _b.W29 2016
082	0	0	_a001.4/2 _223
100	1		_aWainer, Howard, _eauthor.
245	1	0	_aTruth or truthiness : _bdistinguishing fact from fiction by learning to think like a data scientist / _cHoward Wainer, National Board of Medical Examiners.
264		1	_aCambridge : _bCambridge University Press, _c2016.
300			_a1 online resource (xviii, 210 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 10 Dec 2015).
505	8		_aMachine generated contents note: 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.
520			_aTeacher 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 every day, 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 simple question: 'what is the evidence?' With his usual verve and flair, Howard Wainer shows how the sceptical mind-set of a data scientist can expose truthiness, nonsense, and outright deception. Using the tools of causal inference he evaluates the evidence, or lack thereof, supporting claims in many fields, with special emphasis in education. This wise book is a must-read for anyone who has ever wanted to challenge the pronouncements of authority figures and a lucid and captivating narrative that entertains and educates at the same time.
650		0	_aCritical thinking.
650		0	_aInference.
650		0	_aEvidence.
650		0	_aBelief and doubt.
776	0	8	_iPrint version: _z9781107130579
856	4	0	_uhttps://doi.org/10.1017/CBO9781316424315
999			_c516241 _d516239