000			04360nam a2200373 i 4500
001			2014017052
003			DLC
005			20190729105335.0
008			140429s2014 nyu b 001 0 eng
010			_a 2014017052
020			_a9781468309201 _qhardback
042			_apcc
040			_aDLC _beng _erda _cDLC _dMvI _dMiTN
049			_aEY8Z
050	0	0	_aQA279 _b.S638 2014
082	0	0	_a519.5 _223
084			_aPSY000000 _2bisacsh
100	1		_aSmith, Gary, _d1945-
245	1	0	_aStandard deviations : _bflawed assumptions, tortured data, and other ways to lie with statistics / _cGary Smith.
264		1	_aNew York : _bOverlook Duckworth, _c2014.
300			_a326 pages : _bcharts ; _c24 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"Did you know that baseball players whose names begin with the letter "D" are more likely to die young? Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but one cup a day increases the risk of pancreatic cancer? All of these "facts" have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves. With the breakout success of Nate Silver's The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around"-- _cProvided by publisher.
520			_a"Did you know that baseball players whose names begin with the letter "D" are more likely to die young? Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but two cups a day increases the risk of pancreatic cancer? All of these "facts" have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves. With the breakout success of Nate Silver's The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around"-- _cProvided by publisher.
650		0	_aStandard deviations.
650		7	_aPSYCHOLOGY / General. _2bisacsh
948			_au375690
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