“We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” –The Quarterly Review of Biology, March 2009 "During the entire course of my Ph.D. I′ve been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I′ve come to realize that often times, simply knowing the basics is enough for you to properly apply even the most complex analytical methods. ‘Statistics for Terrified Biologists’ has been just such a book – it was more than worth the $40 I spent on it, and while my ′book clubs′ aren′t meant to be reviews, I highly recommend the book to anyone who′s in a similar predicament to my own." –Carlo Artieri′s Blog Book Club The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods. This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students. For the first time basic methods are presented using straightforward, jargon–free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.
Statistics for Terrified Biologists
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“I recommend the book to students of biological disciplines and to those still hesitating about their understanding of the basics of statistics applied in biological research.” ( Photosynthetica , 2011) "The book is a very useful addition to the library of any student, or indeed professional biologist, who has ever had trouble determining what the point was to a statistical analysis, or what the results really mean." (Austral Ecology and Ecological Management & Restoration, 2011) “We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” (The Quarterly Review of Biology , March 2009) " Statistics for Terrified Biologists provides a valuable guide to statistics in clear language, which make it invaluable for pre–health and biology undergraduates students. Highly recommended." ( CHOICE , March 2009) "I would like to express my utmost gratitude to you for writing THE book on statistics for biologists. Your book makes statistics tangible and enjoyable. I′ve begun spreading the word to the other faculty here, and two have already purchased copies for themselves. I thank you for your time, and this gift you have given biology as a whole!" E. Joseph Nolan IV (West Liberty University, November 2011)
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The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods. This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students. For the first time basic methods are presented using straightforward, jargon–free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.
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2 of 2 people found the following review helpful
By Øyvind Busk
Format:Paperback
This book covers topics I should already know by heart as an experimental biochemist/bioinformatic-guy. Unfortunately, I didn't, so I bought this book to get me up to speed, and to function as a reference. For these purposes, the book is great. It reads easily, and I actually found myself reluctant to put it down at some occasions. If you are working as a scientist, you need to know this stuff, and if you don't, this book is the place to start.
2 of 2 people found the following review helpful
By L. S. Smith
Format:Paperback
One terrified Horticulturalist needed something to help him actually understand the ancient chinese dialect they spoke in the Masters degree statistics lessons. No other book came close. I think I actually have an idea what stats is all about now. Just got to do like the book says: Read it, make notes, use a hand held calculator and think a bit and somehow hey presto stats isn't so terrifying after all.
1 of 1 people found the following review helpful
By Aswad87
Format:Paperback
An excellent book if you haven't touched basic stats for a while...covers everything from t tests to anova and other funny sounding stats ... Nothing too complex so if you are after advanced stuff eg modelling then this is not for you.
Better than other stats guides I've looked at.
Better than other stats guides I've looked at.
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