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Practical Statistics for Environmental and Biological Scientists [Paperback]

John Townend
5.0 out of 5 stars  See all reviews (4 customer reviews)
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Book Description

29 Jan 2002
All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. Many have a preconception that statistics are difficult and unpleasant and find that the textbooks available are difficult to understand. Practical Statistics for Environmental and Biological Scientists provides a concise, user–friendly, non–technical introduction to statistics. The book covers planning and designing an experiment, how to analyse and present data, and the limitations and assumptions of each statistical method. The text does not refer to a specific computer package but descriptions of how to carry out the tests and interpret the results are based on the approaches used by most of the commonly used packages, e.g. Excel, MINITAB and SPSS. Formulae are kept to a minimum and relevant examples are included throughout the text.

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Practical Statistics for Environmental and Biological Scientists + Practical Statistics for Field Biology + Choosing and Using Statistics: A Biologist's Guide
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Product details

  • Paperback: 288 pages
  • Publisher: Wiley-Blackwell (29 Jan 2002)
  • Language: English
  • ISBN-10: 0471496650
  • ISBN-13: 978-0471496656
  • Product Dimensions: 24.4 x 16.9 x 1.5 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Bestsellers Rank: 326,325 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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"The reassuring tone and straightforward approach of the book would be a useful guide...” ( Biochemistry and Molecular Education , July/August 2002) "...covers the basics of designing an experiment/survey, data analysis and presentation, and specific methods." ( SciTech Book News , Vol. 26, No. 2, June 2002) "...a good and clear exposition of basic statistical techniques..." (Biometrics, December 2002) "…This no–nonsense approach to elementary statistics should get you or your student started…" (European Journal of Soil Science, March 2003)  "...This book provides a concise,   userfriendly, non–technical introduction to statistics". (Metrohm Information, Vol.32, No.1, 2003)

From the Back Cover

Practical Statistics for Environmental and Biological Scientists is a concise, user–friendly, non–technical introduction to statistics. Starting from basics, this book carefully introduces those statistical methods and techniques that all students and researchers need to know. Written in an accessible style, the book divides into two parts. The first part covers statistical principles, how to plan and design experiments and surveys, and the presentation of data. The second part introduces a range of statistical tests and methods commonly used in environmental and biological sciences. The limitations and assumptions of each statistical method are clearly described along with numerous relevant examples for the applications of the techniques. Practical Statistics for Environmental and Biological Scientists : Is an accessible introduction to key statistical techniques used in the environmental and biological sciences. Includes relevant examples throughout the text with references for further reading. Illustrates concepts and methods and the presentation of data through numerous tables and figures. Provides an appendix describing how many of the tests can be carried out using Excel and Minitab Written for undergraduate students studying within the environmental and biological sciences. Researchers and professionals will also find this an invaluable reference.

Inside This Book (Learn More)
First Sentence
If your first love was statistics, you probably wouldn't be studying or working in environment or biological science. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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22 of 22 people found the following review helpful
5.0 out of 5 stars A statistics book that actually makes sense! 12 Mar 2003
I used many statistics books when conducting my environmental dissertation and found this one to be the very best. Most of the other books grounded statistics in heavy mathematical theory, which was not only pedantic and unnecessary but also extremely difficult to apply. This book was clearly written by someone who appreciates the needs of the student who wants to incorporate statistics into their own individual project. It was highly practical in this regard with a very comprehensive section on how to ascertain whether a data set is normally distributed, and if it is not, how to transform it so as to employ the numerous tests which assume normality such as ANOVA and the t-test. The material covered in the book is common to many other stats books with sections on describing data, presenting data and formulating and testing hypotheses. What makes this material stand out from the other works is its clarity and applicability to the needs of the undergraduate/postgraduate student.
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4 of 4 people found the following review helpful
5.0 out of 5 stars Excellent starter stats book 27 Jan 2009
This is an excellent book for an introduction to the world of stats for scientists. It is our recommended text for an undergraduate biological statistics course I took. It is written in a simple way yet manages to cover most of the stats needed in parametric and non-parametric testing with examples in a lot of them. It covers the basic maths so that you can get an idea of where the idea is coming from, but no so much that it goes way over your head! It also has info about experiment design and presentation which can help make things clearer.
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2 of 2 people found the following review helpful
5.0 out of 5 stars superb 30 Mar 2011
This was my best statistics book ever. I finally managed to understand all the fuzzy details I never managed from other (larger, more advanced, more general) handbooks. I can only recommend it to anyone struggling with some basics and not willing to dig all depths. It really gives a very nice overall background, and you definitely don't need to be a biologist to understand it (I'm an engineer).
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0 of 1 people found the following review helpful
5.0 out of 5 stars Excellent book 25 Mar 2013
Format:Paperback|Verified Purchase
this is a really great book - don't trust my opinion, buy it and find out for yourself! Seriously though - excellent book. Invest in one or tear out the tag and steal it from the uni library if you're poor.
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Most Helpful Customer Reviews on (beta) 4.0 out of 5 stars  5 reviews
9 of 9 people found the following review helpful
3.0 out of 5 stars easy to read but... 28 Feb 2003
By A Customer - Published on
This book is easy to read but don't expect to learn how to do the actual tests. If you only want to know what a test is about, this is a good book to start with. It only covers basic parametric and non-parametric tests.
One mistake that I found - Kolmogorov-Smirnov test is treated as an alternative to t-test, which is misleading. K-S test is for testing distributions not the means or medians. Though this is a common mistake, it should not come from a statistic book.
Not worth the money!
1 of 1 people found the following review helpful
5.0 out of 5 stars Good book for newcomers to use statistics for data analysis 27 Dec 2012
By hermit man - Published on
I have read this book for three times and whenever I confuse with the principle of some stat measures, I come back to this book before go to other book for the detail. Even not provide comprehensive details, I reccomend this book for newcomers to utilize stat for your own data analysis, especially in bioscience.
1 of 1 people found the following review helpful
4.0 out of 5 stars Excellent cookbook-style text 9 Nov 2010
By Octavius - Published on
If, like many researchers, you are not a statistician (and aren't interested in becoming one), then this is the text you want. It explains how and why the various tests work, when to use them, and their strengths and weaknesses. What it glosses over (but does not ignore completely) is the derivation of the math that makes the tests work. As the author states in the preface, "Memorizing formulae will be of very little practical use to you." Because most analysis is performed with a computer, the challenge is knowing which test to pick, not how to "prove" the test itself. In short, start with this book for a comprehensible overview and and then cherry-pick more advanced texts and articles for the nuts and bolts of the technique if you decide you need them.
4.0 out of 5 stars Great reference/refresher 20 Nov 2010
By Duncan K. Poling - Published on
This is a wonderful aid to the Research Biologist who requires a little assistance when it comes to statistics. It provides simple and general explanations as well as the detailed mathematics behind these methods. Well written and worth it.
4.0 out of 5 stars Good Starter Book 26 Feb 2008
By Grad student - Published on
I use this book in a graduate level class in college. It is a great book for those who are just starting out in their thesis work, or who are just beginning to develop their ideas. It gives a lot of basic, but necessary information.
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