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| 049 | _aMAIN | ||
| 100 | 1 |
_aKernighan, Brian W., _eauthor. _92163 |
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| 245 | 1 | 0 |
_aMillions, billions, zillions : _bdefending yourself in a world of too many numbers / _cBrian W. Kernighan. |
| 264 | 1 |
_aPrinceton, New Jersey : _bPrinceton University Press, _c2018. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_aMen _2lcdgt |
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| 386 |
_aUniversity and college faculty members _2lcdgt |
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| 588 | 0 | _aPrint version record. | |
| 505 | 0 | _aGetting started -- Millions, billions, zillions -- Big numbers -- Mega, giga, tera, and beyond -- Units -- Dimensionality -- Milestones -- Specious precision -- Lies, damned lies, and statistics -- Graphical trickery -- Bias -- Arithmetic -- Estimation -- Self defense. | |
| 520 | _aAn essential guide to recognizing bogus numbers and misleading dataNumbers are often intimidating, confusing, and even deliberately deceptive--especially when they are really big. The media loves to report on millions, billions, and trillions, but frequently makes basic mistakes or presents such numbers in misleading ways. And misunderstanding numbers can have serious consequences, since they can deceive us in many of our most important decisions, including how to vote, what to buy, and whether to make a financial investment. In this short, accessible, enlightening, and entertaining book, leading computer scientist Brian Kernighan teaches anyone--even diehard math-phobes--how to demystify the numbers that assault us every day. With examples drawn from a rich variety of sources, including journalism, advertising, and politics, Kernighan demonstrates how numbers can mislead and misrepresent. In chapters covering big numbers, units, dimensions, and more, he lays bare everything from deceptive graphs to speciously precise numbers. And he shows how anyone--using a few basic ideas and lots of shortcuts--can easily learn to recognize common mistakes, determine whether numbers are credible, and make their own sensible estimates when needed. Giving you the simple tools you need to avoid being fooled by dubious numbers, Millions, Billions, Zillions is an essential survival guide for a world drowning in big--and often bad--data. | ||
| 504 | _aIncludes bibliographical references. | ||
| 590 |
_aIEEE _bIEEE Xplore Princeton University Press eBooks Library |
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| 650 | 0 |
_aMathematics in mass media. _965180 |
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| 650 | 0 |
_aStatistics _xEvaluation. _965181 |
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| 650 | 0 |
_aStatistics _xMethodology. _965182 |
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| 650 | 0 |
_aCritical thinking. _921239 |
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| 650 | 0 |
_aMillion (The number) _965183 |
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| 650 | 0 |
_aBillion (The number) _965184 |
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| 650 | 6 |
_aMath�ematiques dans les m�edias. _965185 |
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| 650 | 6 |
_aPens�ee critique. _965186 |
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| 650 | 6 |
_aMillion (Le nombre) _965187 |
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| 650 | 7 |
_aMATHEMATICS _xAlgebra _xIntermediate. _2bisacsh _964159 |
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| 650 | 7 |
_aMATHEMATICS _xGeneral. _2bisacsh _94635 |
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| 650 | 7 |
_aBillion (The number) _2fast _0(OCoLC)fst00831809 _965184 |
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| 650 | 7 |
_aCritical thinking. _2fast _0(OCoLC)fst00883692 _921239 |
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| 650 | 7 |
_aMathematics in mass media. _2fast _0(OCoLC)fst01903873 _965180 |
|
| 650 | 7 |
_aMillion (The number) _2fast _0(OCoLC)fst01021856 _965183 |
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| 650 | 7 |
_aStatistics _xEvaluation. _2fast _0(OCoLC)fst01355059 _965181 |
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| 650 | 7 |
_aStatistics _xMethodology. _2fast _0(OCoLC)fst01132125 _965182 |
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| 655 | 4 |
_aElectronic books. _93294 |
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| 655 | 7 |
_aPopular works. _2fast _0(OCoLC)fst01423846 _96581 |
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| 776 | 0 | 8 |
_iPrint version: _aKernighan, Brian W. _tMillions, billions, zillions. _dPrinceton, New Jersey : Princeton University Press, [2018] _z9780691182773 _w(OCoLC)1032358338 |
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