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Critical Statistics: Seeing Beyond the Headlines

Autor Robert de Vries
en Limba Engleză Paperback – 3 oct 2018
Awarded the 2019 Most Promising New Textbook Award by the Textbook & Academic Authors Association.This accessible and entertaining new textbook provides students with the knowledge and skills they need to understand the barrage of numbers encountered in their everyday lives and studies. Almost all the statistics in the news, on social media or in scientific reports are based on just a few core concepts, including measurement (ensuring we count the right thing), causation (determining whether one thing causes another) and sampling (using just a few people to understand a whole population). By explaining these concepts in plain language, without complex mathematics, this book prepares students to meet the statistical world head on and to begin their own quantitative research projects.Ideal for students facing statistical research for the first time, or for anyone interested in understanding more about the numbers in the news, this textbook helps students to see beyond the headlines and behind the numbers.Accompanying online resources for this title can be found at bloomsburyonlineresources.com/critical-statistics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
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Specificații

ISBN-13: 9781137609793
ISBN-10: 1137609796
Pagini: 250
Ilustrații: 2 bw illus
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.38 kg
Ediția:1st ed. 2019
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Locul publicării:London, United Kingdom

Caracteristici

A wealth of online resources on the book's companion website, including more examples and exercises, links to key datasets and a portal to share examples of bad statistics.

Notă biografică

Robert de Vries, Lecturer in Sociology, University of Kent, UK

Cuprins

1. 99% of statistics are made up 2. Where do numbers come from? 3. Samples, samples everywhere 4. Measure for measure 5. What does it mean to be average? 6. Fraction of a man 7. Cause and effect 8. Bad graphics 9. Context is everything 10. Do it yourself

Recenzii

A much needed Huff for our times.
Never be lied to by statistics again: this book will teach you everything you need to know to combat dodgy data, spot shoddy stats, and to start constructing your own robust and reliable statistics.
This book provides a straightforward and timely tutorial in how to make informed decisions regarding which statistics are to be trusted. This is precisely the type of book needed to empower the public to disentangle the valid from the invalid in the information age.
This book is a must for those taking introductory statistics courses. Rather than being a dry, technical textbook, it provides real-world every day examples of the use of statistics in everyday life.
This book provides a welcome complement to the wide range of 'how to do statistics' books that are available. It takes students in measured steps, providing useful exercises along the way.
Critical Statistics provides an accessible and entertaining tour through the ways that statistics can be used to mislead us. It's a thorough introduction for people who shudder at the thought of data, but people who see themselves as experts will learn something from this too.
This is a highly readable introduction to the ways numbers are manufactured and misrepresented in today's society, teaching the importance of thinking critically about statistics and showing how to do better in our own learning and research. In the age of fake news, this is essential reading for all students of the social sciences.
This is the perfect statistics book in an era in which it is so difficult to navigate the numbers and data we are exposed to in our everyday life. It helps the reader - anyone, from students to more expert readers - understand how difficult it is to interpret and utilize statistics in the news, and it teaches how to make better use of the incredible amount of data available today.
This is a most impressive teaching resource. De Vries adopts an embedded approach to introduce students to statistical reasoning, guaranteed to increase student engagement with quantitative methods and to encourage a much-needed critical eye to quantitative evidence.