000			01618cam a22003014a 4500
001			49902187
003			OCoLC
005			20210103192521.0
008			020125s2002 nyua b 001 0 eng
010			_a2002017010
020			_a0743205561
020			_a9780743254236
040			_aDLC _cDLC _dOCJ _dC#P _dM8X
042			_apcc
049			_aM8XA
050	0	0	_aQA273.15 _b.G54 2002
082	0	0	_a519.2 _221
100	1		_aGigerenzer, Gerd. _934767
245	1	0	_aCalculated risks : _bhow to know when numbers deceive you / _cGerd Gigerenzer.
260			_aNew York : _bSimon & Schuster, _cc2002.
300			_aviii, 310 p. : _bill. ; _c25 cm.
504			_aIncludes bibliographical references (p. 281-296) and index.
520			_aAt the beginning of the twentieth century, H. G. Wells predicted that statistical thinking would be as necessary for citizenship in a technological world as the ability to read and write. But in the twenty-first century, we are often overwhelmed by a baffling array of percentages and probabilities as we try to navigate in a world dominated by statistics. Cognitive scientist Gerd Gigerenzer says that because we haven't learned statistical thinking, we don't understand risk and uncertainty. In order to assess risk — everything from the risk of an automobile accident to the certainty or uncertainty of some common medical screening tests — we need a basic understanding of statistics.
650		0	_aProbabilities _vPopular works. _934768
650		0	_aMathematical statistics _vPopular works. _934769
650		0	_aUncertainty _vPopular works. _934770
942			_2ddc _cBK
999			_c117748 _d117748