Atnaujinkite slapukų nuostatas

Art of Statistics: How to Learn from Data [Kietas viršelis]

4.16/5 (8960 ratings by Goodreads)
  • Formatas: Hardback, 448 pages, aukštis x plotis x storis: 243x164x44 mm, weight: 662 g, Illustrations
  • Išleidimo metai: 03-Sep-2019
  • Leidėjas: Basic Books
  • ISBN-10: 1541618513
  • ISBN-13: 9781541618510
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 448 pages, aukštis x plotis x storis: 243x164x44 mm, weight: 662 g, Illustrations
  • Išleidimo metai: 03-Sep-2019
  • Leidėjas: Basic Books
  • ISBN-10: 1541618513
  • ISBN-13: 9781541618510
Kitos knygos pagal šią temą:
A world-renowned British statistician uses real world examples, including the luckiest passenger on the Titanic and whether or not a notorious serial killer could’ve been caught earlier to introduce readers to complex issues and concepts in statistics 20,000 first printing.

The definitive guide to statistical thinking

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.
List of Figures
ix
List of Tables
xiii
Acknowledgements xv
Introduction 1(18)
Chapter 1 Getting Things in Proportion: Categorical Data and Percentages
19(20)
Chapter 2 Summarizing and Communicating Numbers. Lots of Numbers
39(34)
Chapter 3 Why Are We Looking at Data Anyway? Populations and Measurement
73(22)
Chapter 4 What Causes What?
95(26)
Chapter 5 Modelling Relationships Using Regression
121(22)
Chapter 6 Algorithms, Analytics and Prediction
143(46)
Chapter 7 How Sure Can We Be About What Is iss Going On? Estimates and Intervals
189(16)
Chapter 8 Probability - the Language of Uncertainty and Variability
205(24)
Chapter 9 Putting Probability and Statistics Together
229(24)
Chapter 10 Answering Questions and Claiming Discoveries
253(52)
Chapter 11 Learning from Experience the Bayesian Way
305(36)
Chapter 12 How Things Go Wrong
341(20)
Chapter 13 How We Can Do Statistics Better
361(18)
Chapter 14 In Conclusion
379(2)
Glossary 381(26)
Notes 407(12)
Index 419