Millions, Billions, Zillions: Defending Yourself in a World of Too Many Numbers
An 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 numb...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Princeton, NJ
Princeton University Press
2018
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Schlagworte: | |
Online-Zugang: | DE-1043 DE-1046 DE-Aug4 DE-859 DE-860 DE-91 DE-706 DE-739 DE-858 Volltext |
Zusammenfassung: | An 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 |
Beschreibung: | 1 online resource |
ISBN: | 9780691190136 |
DOI: | 10.1515/9780691190136 |
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discipline | Allgemeines Mathematik |
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spelling | Kernighan, Brian W. 1942- Verfasser (DE-588)138447284 aut Millions, Billions, Zillions Defending Yourself in a World of Too Many Numbers Brian Kernighan Princeton, NJ Princeton University Press 2018 © 2019 1 online resource txt rdacontent c rdamedia cr rdacarrier An 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 Data mining Numbers, Complex Zahl (DE-588)4067271-2 gnd rswk-swf Kontrolle (DE-588)4032312-2 gnd rswk-swf Daten (DE-588)4135391-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Data Mining (DE-588)4428654-5 s Zahl (DE-588)4067271-2 s Statistik (DE-588)4056995-0 s Daten (DE-588)4135391-2 s Kontrolle (DE-588)4032312-2 s DE-604 Erscheint auch als Druck-Ausgabe 978-0-691-18277-3 https://doi.org/10.1515/9780691190136 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Kernighan, Brian W. 1942- Millions, Billions, Zillions Defending Yourself in a World of Too Many Numbers Data mining Numbers, Complex Zahl (DE-588)4067271-2 gnd Kontrolle (DE-588)4032312-2 gnd Daten (DE-588)4135391-2 gnd Data Mining (DE-588)4428654-5 gnd Statistik (DE-588)4056995-0 gnd |
subject_GND | (DE-588)4067271-2 (DE-588)4032312-2 (DE-588)4135391-2 (DE-588)4428654-5 (DE-588)4056995-0 |
title | Millions, Billions, Zillions Defending Yourself in a World of Too Many Numbers |
title_auth | Millions, Billions, Zillions Defending Yourself in a World of Too Many Numbers |
title_exact_search | Millions, Billions, Zillions Defending Yourself in a World of Too Many Numbers |
title_full | Millions, Billions, Zillions Defending Yourself in a World of Too Many Numbers Brian Kernighan |
title_fullStr | Millions, Billions, Zillions Defending Yourself in a World of Too Many Numbers Brian Kernighan |
title_full_unstemmed | Millions, Billions, Zillions Defending Yourself in a World of Too Many Numbers Brian Kernighan |
title_short | Millions, Billions, Zillions |
title_sort | millions billions zillions defending yourself in a world of too many numbers |
title_sub | Defending Yourself in a World of Too Many Numbers |
topic | Data mining Numbers, Complex Zahl (DE-588)4067271-2 gnd Kontrolle (DE-588)4032312-2 gnd Daten (DE-588)4135391-2 gnd Data Mining (DE-588)4428654-5 gnd Statistik (DE-588)4056995-0 gnd |
topic_facet | Data mining Numbers, Complex Zahl Kontrolle Daten Data Mining Statistik |
url | https://doi.org/10.1515/9780691190136 |
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