000			02061nam a22002657a#4500
001			823917
007			tz
008			170124t2016 th ||||| |||| 00| 0 eng d
020			_a9781107130579
049			_aPIMLIB
050			_aBF441 _b.W329
100			_aWainer, Howard _950048
245			_aTruth or truthiness _b: distinguishing fact from fiction by learning to think like a data scientist
260			_aNew York : _bCambridge University Press, _c2016. _946913
300			_a210 p
449			_aNew Arrivals-Jan.2017
520			_a"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. Howard Wainer is a Distinguished Research Scientist at the National Board of Medical Examiners. He has published more than 400 articles and chapters in scholarly journals and books. His book Defeating Deception: Escaping the Shackles of Truthiness by Learning to Think like a Data Scientist, will be published by Cambridge University Press in 2016"--
650			_alearning
650			_ascientific theory
690			_a0049 สำนักการศึกษาทั่วไป _9132
942			_cBK
988			_c823917
998			_abenjamad
999			_c823917 _d823917