000			03485cam a2200469Ii 4500
001			952388386
003			OCoLC
005			20240619150559.0
008			161101t2017 flua b 001 0 eng d
010			_a2016050456
019			_a951753880 _a987992369
020			_a9781138726987 _q(hardback)
020			_a1138726982
024	8		_a40027171906
035			_a(OCoLC)952388386 _z(OCoLC)951753880 _z(OCoLC)987992369
040			_beng _erda _dSFPAGOH
042			_apcc
050	0	0	_aQ172.5.E77 _bS38 2017
100	1		_aSalsburg, David, _d1931- _eauthor
245	1	0	_aErrors, blunders, and lies : _bhow to tell the difference / _cDavid S. Salsburg
264		1	_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c[2017]
264		1	_c©2017
300			_axiii, 154 pages : _billustrations ; _c22 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aASA-CRC series on statistical reasoning in science and society
504			_aIncludes bibliographical references and index
505	0		_aThe transit of Venus -- Probability versus likelihood -- The central limit conjecture -- Measuring disease -- Other uses of multilinear models -- When multilinear regression is not adequate -- Correlation versus causation -- Regression and big data -- Contaminated distributions -- The Princeton robustness study -- When the blunder is what you want -- Parsing "blunders" -- The reigns of kings -- Searching for the "real" Davy Crockett -- Detecting falsified counts -- Uncovering secrets -- Errors, blunders, or curbstoning?
520			_aWe live in a world that is not quite 'right'. The central tenet of statistical inquiry is that Observation = Truth + Error because even the most careful of scientific investigations have always been bedevilled by uncertainty. Our attempts to measure things are plagued with small errors. Our attempts to understand our world are blocked by blunders. And, unfortunately, in some cases, people have been known to lie. In this follow-up to his acclaimed best-seller, The Lady Tasting Tea, David Salsburg opens a door to the widespread use of statistical methods by looking at historical examples of errors, blunders and lies from areas as diverse as archaeology, law, economics, medicine, psychology, sociology, Biblical studies, history, and war-time espionage. In doing so, he shows how, upon closer statistical investigation, errors and blunders often lead to useful information. And how statistical methods have been used to uncover falsified data. Beginning with Edmund Halley's examination of the Transit of Venus and ending with discussions of how many tanks Rommel had during the Second World War and whether modern African censuses contain falsified data, the author invites the reader to come along on this easily-accessible and fascinating journey of how to identify the nature of errors, minimize the effects of blunders, and figure out who the liars are
650		0	_aErrors, Scientific
650		0	_aScience _xStatistical methods
650		0	_aMissing observations (Statistics)
650		0	_aScience _xMethodology
650		2	_aObserver Variation. _0(DNLM)D015588
650		2	_aStatistics as Topic. _0(DNLM)D013223
907			_a.b10566478 _b01-11-21 _c23-02-21
998			_am _b01-11-16 _ca _d- _e- _feng _gflu _h0
999			_c47980 _d47980