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Author: Andy Field
Publisher: SAGE
ISBN: 144628915X
Category : Reference
Languages : en
Pages : 994
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Book Description
Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field′s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you′re doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book′s accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.
Author: Andy Field
Publisher: SAGE
ISBN: 144628915X
Category : Reference
Languages : en
Pages : 994
Get Book Here
Book Description
Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field′s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you′re doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book′s accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.
Author: Darrell Huff
Publisher: W. W. Norton & Company
ISBN: 0393070875
Category : Mathematics
Languages : en
Pages : 144
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Book Description
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Author: David Spiegelhalter
Publisher: Basic Books
ISBN: 1541618521
Category : Mathematics
Languages : en
Pages : 359
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Book Description
In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
Author: Graham Newman
Publisher: Nelson Thornes
ISBN: 0748790330
Category : Mathematical statistics
Languages : en
Pages : 286
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Book Description
The Pack includes mapping to the specification, detailed Teaching notes for each chapter with examiners' hints and tips. Coursework guidance, project suggestions and information sources to assist with coursework preparation are all provided. A range of free resources are available on our dedicated Statistics website providing additional support for this subject. Dedicated Key Maths Statistics website
Author: Charles Wheelan
Publisher: W. W. Norton & Company
ISBN: 0393089827
Category : Mathematics
Languages : en
Pages : 307
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Book Description
A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Author: Evans, Jeff
Publisher: Policy Press
ISBN: 1447348214
Category : Social Science
Languages : en
Pages : 414
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Book Description
Statistical data and evidence-based claims are increasingly central to our everyday lives. Critically examining ‘Big Data’, this book charts the recent explosion in sources of data, including those precipitated by global developments and technological change. It sets out changes and controversies related to data harvesting and construction, dissemination and data analytics by a range of private, governmental and social organisations in multiple settings. Analysing the power of data to shape political debate, the presentation of ideas to us by the media, and issues surrounding data ownership and access, the authors suggest how data can be used to uncover injustices and to advance social progress.
Author: Great Britain: Department of Energy and Climate Change
Publisher: The Stationery Office
ISBN: 9780115155260
Category : Business & Economics
Languages : en
Pages : 264
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Book Description
This issue of the Digest of United Kingdom Energy Statistics (DUKES) is part of a series and updates the figures given in the DUKES 2009. The publication consists of seven chapters; the first chapter deals with overall energy, with the other chapters covering specific fuels, combined heat and power and renewable sources of energy. The statistics presented in this digest will generate widespread interest from anyone working within or with an interest in energy sources, consumption and climate change. Chapters covering specific fuels and renewable sources of energy contain details on the production and consumption of individual fuels, presented using commodity balances. A commodity balance illustrates the flow of a fuel through from production to final consumption. These individual commodity balances are also combined in an energy balance, showing the interaction between different fuels. General energy statistics are presented in a table, revealing energy consumption by final users and an analysis of energy consumption by main industrial groups. Surveys conducted by AEA Energy & Environment on behalf of DECC estimate the contribution made by combined heat and power and renewable energy to energy production and consumption in the UK.
Author: Mehmet Mehmetoglu
Publisher: SAGE
ISBN: 1529788463
Category : Social Science
Languages : en
Pages : 421
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Book Description
Straightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data. Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation. The book includes: · Original case studies and data sets · Practical exercises and lists of commands for each chapter · Downloadable Stata programmes created to work alongside chapters · A wide range of detailed applications using Stata · Step-by-step guidance on writing the relevant code. This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis.
Author: Tony Champion
Publisher: Rowman & Littlefield
ISBN: 1783485930
Category : Social Science
Languages : en
Pages : 277
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Book Description
A quarter of a century ago, Heather Joshi edited a landmark volume (sponsored by the British Society for Population Studies and the Centre for Economic Policy Research) entitled The Changing Population of Britain. In 2014-15, to mark the 25th anniversary of this book, the BSPS teamed up with the British Academy to hold a series of events on population developments in the UK and the policy issues that they raise, and has built on these presentations to produce a new edited collection on the changing population of the UK. This book shows that the UK's population is increasing faster than at any point in the last 100 years, it is getting progressively older and it is becoming more diverse culturally and ethnically. More school leavers are going on to university. Cohabitation has been replacing marriage, more children live in one-parent families and young adults are finding it harder to get on the property ladder. Many women are delaying having children until their 40s. Cities have seen a resurgence in population but there is still pressure on the countryside, while the north-south divide is getting ever wider, as too are local socio-economic disparities. The contributors to this book document these changes, examine their causes and discuss future prospects and their policy implications.
Author: Great Britain. Office for National Statistics
Publisher: The Stationery Office
ISBN: 9780101629423
Category : Political Science
Languages : en
Pages : 172
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Book Description
This is the fourth National Statistics annual report which highlights the variety of work carried out by statisticians and other analysts in the Government Statistical Service (GSS) during the year 2003-04. It considers the progress made in implementing the statistical plans set out in the National Statistics Work Programme for 2003/04 to 2005/06, across three main areas of work: major developments in cross-cutting departmental or theme boundaries; work carried out under the aegis of the 12 National Statistics Theme Groups; and quality improvements carried out in the context of the National Statistics Quality Review Programme.
