Free Best The Art of Statistics: Learning from Data (Pelican Books) (English Edition) By David Spiegelhalter – Z55z.co

A statistical national treasure Jeremy Vine, BBC Radio Required reading for all politicians, journalists, medics and anyone who tries to influence people or is influenced by statistics A tour de force Popular ScienceDo busier hospitals have higher survival rates How many trees are there on the planet Why do old men have big ears David Spiegelhalter reveals the answers to these and many other questions questions that can only be addressed using statistical scienceStatistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is important than ever In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial Shines a light on how we can use the ever growing deluge of data to improve our understanding of the world Nature


5 thoughts on “The Art of Statistics: Learning from Data (Pelican Books) (English Edition)

  1. prof prof says:

    Il testo arrivato tempestivamente e ben imballato Il suo contenuto rivolto principalmente a curiosi della statistica visto che non contiene alcuna formula o dettaglio di concetti tecnici Tratta pi la fisolofia della statistica e la sua interpretazione che la costruzione di modelli statistici veri e propri In questo senso il titolo risulta fuorviante Nota di demerito per la stampa i caratteri sono poco leggibili perch piccoli


  2. Tim Roast Tim Roast says:

    When I am not writing witty and informative reviews on my day job is as a Government statistician Therefore when offered the opportunity to read this book I thought it would be useful for me to do so And I do believe it is helping me in my work I am thinking about how best to present my statistics and what analytical techniques I could use too So this book works from that perspective.This book takes real world questions and shows you how they ve been answered introducing various statistical techniques as it does so It does this whilst aiming to avoid getting embroiled in technical details The questions picked are quite interesting subjects like why do old men have big ears , how many trees are there in this planet an estimated 3.04 trillion if you must know or what height will a son daughter be given their parents heights and so on with some of the questions being based on work the author has been involved in during his career Relating the problems to real life helps make the text appeal not only to statisticians to which this book is dedicated but also to non technical readers who want to be informed about the statistics they encounter both in their work and in everyday life Some of this is not new stuff, e.g early bits on presentation of data such as 3D pie charts not being useful for comparing proportions But the book does get involved as you work through it getting deeper in statistical techniques making it harder to understand and requiring concentration, and the author is aware of this, for example asking if it is all clear If it isn t then please be reassured that you have joined generations of baffled students Also the conclusion congratulates you for getting to the end.Useful stuff in here for me was the chapter on regression which is what I use commonly than much of the rest , and the last couple of chapters after the hard stuff were good reading too, showing bad examples and good examples of statistics from journals and the like and explaining why offering learning points.Technical stuff is relegated to the technical glossary so this book is readable which is good for a book about statistics , although still hard in places For my work it has been useful and I m glad I read it and have it for future reference.


  3. TheJollyGreenMan TheJollyGreenMan says:

    For my sins I was forced to study Statistics as an undergraduate in engineering and later doing a business management diploma In both courses I was confronted with textbooks that contained a lot of mathematics and equations And the courses consisted of recipes, to dive into the books and use the formulas and tables to solve a given situation Quite frankly, I emerged none the wiser despite all the notes, lectures and discussions.After reading a positive review of this book in the UK edition of the Spectator I bought a copy via I am so glad I did, for it explained to me what I have been missing in Statistics all my working life, which is now past Using just plain words in a style that is not talking down to the reader, David Mirrorholder , guided me through the beautiful world of statistics It is evident that not only did David master statistics, but had such an insight, that he could teach others as a master of his subject I am so glad that did put pen to paper.However, I do have a comment about the print quality of the book My copy was printed and bound in Britain The quality control was not enough The meandering right hand margin that ranged from 16 to 11mm I think the objective was a 15mm wide margin was most distracting.


  4. Alex Alex says:

    Whilst many popular science books simply explain WHY a subject is interesting, and tell stories around it, this book actually explains HOW statistics work.The reason this is such a rare thing is that there simply aren t many people who can combine a world leading scientific mind with storytelling skill and writing clarity David Spiegelhalter s varied career means that he s been on the inside of so many fascinating statistical detective stories, from how it s possible to spot a serial killer like Harold Shipman to analysing who lived and died during the Titanic disaster, and he uses these real life examples to lift the veil on what many people think of as the dark art of statistics By the end of it there won t be many readers who haven t had several lightbulb moments as they finally realise what their school teachers had clumsily tried to explain in turgid mathematical language much easier in fluent, readable English From A level science students up to practising legal, medical, financial, economic and science professionals, it should be required reading on many a syllabus and reading list but don t that let you think it s a hard read The charmingly readable style, footnotes that make you smile, and stories that engross, make this book a pleasure to spend time with.


  5. Dr J.H.F. Rudd Dr J.H.F. Rudd says:

    A great book that offers humour and wit to learning the art of statistics Not like a statistics book you might have come across before, it is full of pithy examples to help you grasp complex concepts easily I learnt a lot and have been mis using stats for years