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Andrew Vickers
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What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics 1. Auflage

von Andrew Vickers (Author)
4,2 4,2 von 5 Sternen 123 Sternebewertungen
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What is a p-value Anyway offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day.

What is a p-value Anyway is the perfect compliment to any introductory statistics textbook and will succeed in demonstrating the everyday importance of statistics to your class.
Vorherige Folie der Produktdetails
  1. ISBN-10
    0321629302
  2. ISBN-13
    978-0321629302
  3. Auflage
    1.
  4. Herausgeber
    Pearson
  5. Erscheinungstermin
    18. November 2009
  6. Sprache
    Englisch
  7. Abmessungen
    17.53 x 1.52 x 22.86 cm
  8. Seitenzahl der Print-Ausgabe
    224 Seiten
  9. Alle Details anzeigen
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  • Treetown
    5,0 von 5 Sternen Great book that explains introductory medical statistics
    Bewertet in den USA am22. Oktober 2011
    Verifizierter Kauf
    This is an unusual and wonderful statistics book. Typically these works are dry and lifeless. "What is a p-value anyway" is very carefully and cleverly written. It is not a textbook or reference work although I suspect unless you are a serious student of statistics, this will be the stats book you'll be reaching for when you need a quick brush up on statistics.

    So what does the author do?
    He takes all of the major introductory topics in medical statistics (e.g. descriptive statistics, hypothesis testing, parametric versus non-parametric testing etc.) and conveys in a nice conversational manner. One can imagine he is your stat expert friend who is explaining patiently to you over coffee and some stories these ideas. For the more serious students you'll still need your heavy weight text with Z-scores, degrees of freedom tables and so on but for people who just need to understand medical statistics this is a terrific book.

    This is ideal for students, residents and attendings who need to better understand statistics but not to calculate them.
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  • RE
    5,0 von 5 Sternen Candy that's good for you!
    Bewertet in den USA am16. März 2011
    Verifizierter Kauf
    This is a unique, brilliant and hilarious little book that will transform statistics from torture to entertainment. I mean, let's face it - statistics is fascinating. (OK, I'll come clean - I am a statistician myself.) But almost anyone who is faced with having to take a statistics class dreads it - and with good reason. Statistics courses can be obscure and utterly opaque, particularly in the absence of good examples and clear explanations. Enter "What is a p-value anyway?" and the key statistical concepts are revealed in cute and humorous ways. I mean, who would think of explaining what a p-value is via a vignette about proving that your son could not possibly have brushed his teeth if his toothbrush is still dry? Or explaining multiple comparisons via the story of a boy fishing for compliments from his girlfriend? Or explaining conditional probability via OJ Simpson? The truth is that statistics is hugely relevant in our lives. This is made abundantly clear by the examples in each chapter, which are illustrated by adorable cartoons that made me laugh out loud more than once. The important message of this powerful book is that statistics is much more about thinking clearly than about complex formulas or mathematical concepts. I'd recommend "What is a p-value anyway?" for anyone who wants to understand statistics better - from beginners to graduate students to professors and teachers. It is an utterly delightful and ultimately enlightening confection.
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  • Dlagerb
    4,0 von 5 Sternen Useful and Clearly Explains Statistical Concepts
    Bewertet in den USA am9. September 2011
    Verifizierter Kauf
    Don't be put-off by the title. With humor, concrete, understandable examples, and clear text these stories help me to understand the "meaning" behind all those equations and terms. The author is experienced, but no so far above his readers that he cannot explain concepts. I'm in graduate school and find his book to be a worthy addition to my reading. It is well worth the time to read this book in conjunction with the text book. I feel as if I am gaining an understanding of what the numbers mean that would only come from many years of experience. This book is a bit pricey but worth it. Finally, the groan-worthy jokes just add to the readability of the text.
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  • EG
    5,0 von 5 Sternen Offers grounding on what statistics is all about
    Bewertet in den USA am3. Juni 2012
    Verifizierter Kauf
    Given the increased focus on analytics in the fields of technology and business, this gem of a book offers grounding to many who have lost sight of what statistics is all about. While I can easily see this author write a text that focuses solely on the p-value, the potential reader should instead evaluate the scope of what Vickers provides in this 200-page effort based on the subtitle, which points to understanding statistics in general. Other reviews are accurate. This book is small, but offers substance in an entertaining manner unlike any statistics text I have ever come across, certainly nothing like anything ever offered in my undergraduate statistics coursework.

    In this introduction, the author summarizes the content well by noting that "the first 12 chapters deal with some basics, such as averages, variation, distributions and confidence intervals. I then have a few chapters on hypothesis testing and p-values, before discussing regression - the statistical method I use most in my work - and decision making - which generally should be, but often isn't, what statistics is about. The last third of the book, starting from the chapter 'One better than Tommy John', is devoted to discussing a wide variety of statistical errors."

    "If it seems odd to devote so much of a book to slip-ups, it is because I have a little theory that 'science' is just a special name for 'learning from our mistakes'. When I teach, I give bonus points for any student giving a particularly dumb answer because those are the ones we really learn from. In fact, I don't think you can really understand, say, a p-value, without seeing some of the ways it has been misused and thinking through why these constitute mistakes. So please don't blow these chapters off thinking you've read the stuff you'll be examined on: the final chapters will really fill in your statistical knowledge."

    Chapters that I especially appreciated include Chapter 9 on degree of normal distribution fit, Chapter 11 on variation and confidence intervals, Chapters 13, 14, 15, 23, and 29 on p-values, Chapter 17 on sample size, precision, and statistical power, Chapter 19 on regression and confounding, Chapter 20 on specificity and sensitivity, Chapter 21 on decision analysis, Chapter 22 on statistical errors, and Chapter 32 on science, statistics, and reproducibility. The discussion section that comprises the last 25% of what the author shares here works through questions posed at the end of each of the 34 chapters, and much of the value that I personally obtained from this text can be found in this section.

    In my opinion, it is the rare reader who will not find any author discussions worth remembering, because Vickers simply tells it like it is. In Chapter 5, for example, the author describes a continuous variable as one that can take "a lot of different values", and in the discussion section for this chapter he points out that "statisticians disagree on this point (statisticians disagree on a lot of points, which just goes to show how much of statistics is a judgement call)." In Chapter 13, the author indicates that he "provided strong evidence" for something, and in the discussion section comments that "'proof' is not a word often used by scientists."

    "Statisticians are particularly careful with the word 'proof', because they are keenly aware of the limitations of data, and the important role that chance plays in any set of results. Statisticians normally use the word 'proof' only to refer to mathematical relationships between formulas. The point here is that you don't use data to do math theory, so you aren't subject to the limitations of data, and so you can go about really claiming to have 'proved' something. It is certainly unwise to think that you can prove anything by applying a statistical test to a data set."

    In Chapter 9, the author notes that "statisticians don't typically seem to worry too much about whether or not the data are a close fit to the normal distribution because they realize that statistics isn't football, and no one is going to throw a flag and send you back 10 yards if you are caught breaking the rules. In fact, there aren't really many 'rules' at all." After quoting one sentence from a scientific paper describing a clinical trial in Chapter 22, the author works through the sentence and discusses each of the four statistical errors made by the researcher, and discusses why he cares about such errors.

    "Many people seem to think that we statisticians spend most of our time doing calculations, but that is perhaps the least interesting thing we do. Far more important is that we spend time looking at numbers and thinking through what they mean. If I see any number in a scientific report that is meaningless - a p-value for baseline differences in a randomized trial, say, or a sixth significant figure - I know that the authors are not being careful about what they are doing, they are just pulling numbers from a computer printout. Statistics is more than just cutting and pasting from one software package to another. We have to think about what the numbers mean and the implications for our scientific question." Well said.
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  • Cliente Amazon
    5,0 von 5 Sternen Avaliação positiva em termos de compra e do conteúdo do livro
    Bewertet in Brasilien am 30. Juli 2016
    Verifizierter Kauf
    Avaliação positiva. Muito útil para o planejamento e interpretação de dados estatísticos das pesquisas. Recomendo a sua divulgação entre cientistas e alunos da pós-graduação strictu sensu.
    Armenio Guimaraes
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  • whirled girl
    5,0 von 5 Sternen My favourite stats book
    Bewertet in Kanada am 23. Dezember 2015
    Verifizierter Kauf
    This is my favourite stats book and I wish I could use it as a textbook! Stories make stats come to life. A good supplement to understand how stats can be used. Does not teach you how to calculate the stats, but how to understand what they mean in a practical sense. The textbook I teach from (Pearson) comes with videos that tell these stories. I was thrilled to share this with students. They are silly stories that can appeal to any age.
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  • C A Beckworth
    5,0 von 5 Sternen This book is a warm, witty and wise guide through the world of statistics
    Bewertet in Großbritannien am 18. August 2014
    Verifizierter Kauf
    This book is a warm, witty and wise guide through the world of statistics. I am not a statistician by profession, but a nurse working in public health; what I appreciate about this book is that the author clearly communicates how to use statistics to better understand the world around us. Each of the 34 chapters is concise, frequently funny, but most importantly shows that whilst statistics might be expressed in numbers, it is actually about people. Highly recommended.
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  • Niksby
    5,0 von 5 Sternen A very good way to start understanding statistics.
    Bewertet in Großbritannien am 15. Mai 2017
    Verifizierter Kauf
    A very good way to start understanding statistics.
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