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Book details

Statistics and scientific method

an introduction for students and researchers

by Peter Diggle

Published 2011172 pagesISBN 978-0-1995-4319-9

"Most introductory statistics text-books are written either in a highly mathematical style for an intended readership of mathematics undergraduate students, or in a recipe-book style for an intended audience of non-mathematically inclined undergraduate or postgraduate students, typically in a single discipline; hence, "statistics for biologists", "statistics for psychologists", and so on. An antidote to technique-oriented service courses, Statistics and Scientific Method is different. It studiously avoids the recipe-book style and keeps algebraic details of specific statistical methods to the minimum extent necessary to understand the underlying concepts. Instead, the text aims to give the reader a clear understanding of how core statistical ideas of experimental design, modelling and data analysis are integral to the scientific method. Aimed primarily at beginning postgraduate students across a range of scientific disciplines (albeit with a bias towards the biological, environmental and health sciences), it therefore assumes some maturity of understanding of scientific method, but does not require any prior knowledge of statistics, or any mathematical knowledge beyond basic algebra and a willingness to come to terms with mathematical notation. Any statistical analysis of a realistically sized data-set requires the use of specially written computer software. An Appendix introduces the reader to our open-source software of choice, R, whilst the book's web-page includes downloadable data and R code that enables the reader to reproduce all of the analyses in the book and, with easy modifications, to adapt the code to analyse their own data if they wish. However, the book is not intended to be a textbook on statistical computing, and all of the material in the book can be understood without using either R or any other computer software"--

Beyond its central premise, the book can be read through the connected lenses of Nonfiction. Those themes offer useful points of attention as the characters, ideas, or world develop, especially where the book complicates the expectations of its primary category.

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Themes to notice

Nonfiction

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Reading experience

Dark tone · Steady pace

Works well for a focused weekend or a few concentrated sittings.

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ToneDark
LuminousDark

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Statistics and scientific methodPeter Diggle
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A quick reading snapshot

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Reading lengthA shorter read172 pages in this edition
Publication eraModernFirst published or edition dated 2011
Primary categoryNonfictionExplore similar books below
ISBN-13
978-0-1995-4319-9
Language
English
Edition record
OL24842333M
BookenDeX editorial lens

A more thoughtful way into this book

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Good to know

Works well for a focused weekend or a few concentrated sittings.

Begin with its place in Nonfiction, then notice where the book resists that label.

Try this reading approach

Read for connection, not completion.

Mark one passage that sharpens the book's central concern and one that complicates it. That tension often reveals more than a quick summary.

Three questions to carry with you

  1. Whose perspective organizes the story, and whose perspective remains outside it?
  2. Which sources or lived experiences carry the author’s central argument?
  3. How does the book change the way you understand its larger subject?

Editorial framework by Wesley Bryan, BookenDeX Founder and Editor.