Choosing and Using Statistics A Biologist's Guide

ISBN-10: 1405198397

ISBN-13: 9781405198394

Edition: 3rd 2010 (Guide (Instructor's))

Authors: Calvin Dytham

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Choosing and Using Statistics remains an invaluable guide for students using a computer package to analyse data from research projects and practical class work. The text takes a pragmatic approach to statistics with a strong focus on what is actually needed. There are chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The book is built around a key to selecting the correct statistical test and then gives clear guidance on how to carry out the test and interpret the output from four commonly used computer packages: SPSS, Minitab, Excel, and (new to this edition) the free program, R. Only the basics of formal statistics are described and the emphasis is on jargon-free English but any unfamiliar words can be looked up in the extensive glossary. This new 3 rd edition of Choosing and Using Statistics is a must for all students who use a computer package to apply statistics in practical and project work.Features new to this edition: Now features information on using the popular free program, R Uses a simple key and flow chart to help you choose the right statistical test Aimed at students using statistics for projects and in practical classes Includes an extensive glossary and key to symbols to explain any statistical jargon No previous knowledge of statistics is assumed
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Book details

Edition: 3rd
Copyright year: 2010
Publisher: John Wiley & Sons, Limited
Publication date: 12/10/2010
Binding: Paperback
Pages: 320
Size: 6.75" wide x 9.75" long x 0.75" tall
Weight: 1.540

Uwe Flick is Professor of Qualitative Research in Social Science and Education at the Free University of Berlin, Germany. He is a trained psychologist and sociologist and received his PhD from the Free University of Berlin in 1988 and his Habilitation from the Technical University of Berlin in 1994. He has been Professor of Qualitative Research at Alice Salomon University of Applied Sciences in Berlin, Germany and at the University of Vienna, Austria, where he continues to work as Guest-Professor. Previously, he was Adjunct Professor at the Memorial University of Newfoundland in St. John's, Canada; a Lecturer in research me�thodology at the Free University of Berlin; a Reader and Assistant Professor in qualitative methods and evaluation at the Technical University of Berlin; and Associate Professor and Head of the Department of Medical Sociology at the Hannover Medical School. He has held visiting appointments at the London School of Economics, the Ecole des Hautes Etudes en Sciences Sociales in Paris, at Cambridge University (UK), Memorial University of St. John's (Canada), University of Lisbon (Portugal), Institute of Higher Studies in Vienna, in Italy and Sweden, and at the School of Psychology at Massey University, Auckland (New Zealand). His main research interests are qualitative methods, social representations in the fields of individual and public health, vulnerability in fields like youth homelessness or migration, and technological change in everyday life. He is the author of Designing Qualitative Research (London: Sage, 2007) and Managing Quality in Qualitative Research (London: Sage, 2007) and editor of The SAGE Qualitative Research Kit (London: Sage, 2007), A Companion to Qualitative Research (London: Sage, 2004), Psychology of the Social (Cambridge: Cambridge University Press, 1998), Quality of Life and Health: Concepts, Methods and Applications (Berlin: Blackwell Science, 1995), and La perception quotidienne de la Sant� et la Maladie: Th�ories subjectives et Repr�sentations sociales (Paris: L'Harmattan, 1993). As his most recent publications, he wrote An Introduction to Qualitative Research, fifth edn. (London: Sage, 2014) and edited The SAGE Handbook of Qualitative Data Analysis (London: Sage, 2014). nbsp; nbsp;#60;b#62;Calvin Dytham#60;/b#62; has a wide range of research interests in ecology and evolutionary biology and is especially interested in the impacts of dispersal and the arrangement of individuals in space on ecological and evolutionary processes. He is a Reader in the Department of Biology at the University of York, UK, and has been teaching statistics to undergraduate and postgraduate students since 1994.

Preface
Eight steps to successful data analysis
The basics
Observations
Hypothesis testing
P-values
Sampling
Experiments
Statistics
Choosing a test: a key
Remember: eight steps to successful data analysis
The art of choosing a test
A key to assist in your choice of statistical test
Hypothesis testing, sampling and experimental design
Hypothesis testing
Acceptable errors
P-values
Sampling
Experimental design
Statistics, variables and distributions
What are statistics?
Types of statistics
What is a variable?
Types of variables or scales of measurement
Types of distribution
Discrete distributions
Continuous distributions
Non-parametric 'distributions'
Descriptive and presentational techniques
General advice
Displaying data: summarizing a single variable
Displaying data: showing the distribution of a single variable
Descriptive statistics
Using the computer packages
Displaying data: summarizing two or more variables
Displaying data: comparing two variables
Displaying data: comparing more than two variables
The tests 1: tests to look at differences
Do frequency distributions differ?
Do the observations from two groups differ?
Do the observations from more than two groups differ?
There are two independent ways of classifying the data
More than one observation for each factor combination (with replication)
There are more than two independent ways to classify the data
Not all classifications are independent
Nested or hierarchical designs
The tests 2: tests to look at relationships
Is there a correlation or association between two variables?
Is there a cause-and-effect relationship between two variables?
Tests for more than two variables
The tests 3: tests for data exploration
Types of data
Observation, inspection and plotting
Symbols and letters used in statistics
Greek letters
Symbols
Upper-case letters
Lower-case letters
Glossary
Assumptions of the tests
Hints and tips
A table of statistical tests
Index
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