Calvin Dytham

Choosing and Using Statistics

A Biologist's Guide

• Broschiertes Buch

Produktbeschreibung

The third edition of this popular text is ideal for anyone who wants to process data using a statistical package on the computer, to select appropriate methods, and extract the important information from the often confusing output. The text covers how these tests work, and how to perform the calculations involved.

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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 3rd 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

Produktdetails

• Verlag: Wiley & Sons
• 3. Aufl.
• Seitenzahl: 320
• Erscheinungstermin: 10. Dezember 2010
• Abmessung: 244mm x 170mm x 17mm
• Gewicht: 700g
• ISBN-13: 9781405198394
• ISBN-10: 1405198397
• Artikelnr.: 32084972

Autorenporträt

Calvin Dytham 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.

Inhaltsangabe

Preface. 1 Eight steps to successful data analysis. 2 The basics.
Observations. Hypothesis testing. P-values. Sampling. Experiments.
Statistics. 3 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. 4 Hypothesis testing, sampling and experimental
design. Hypothesis testing. Acceptable errors. P-values. Sampling.
Experimental design. 5 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'. 6 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. 7 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. 8 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. 9 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.

Rezensionen

"Written in a concise and direct style, this book presents a selection of some of the most widely used statistical tests and data exploration techniques." (Biological Conservation, 1 March 2012)

"Written in a concise and direct style, this book presents a selection of some of the most widely used statistical tests and data exploration techniques ... In general, this book is a very good primer for students with no statistical expertise." (Biological Conservation Reviews, 2011)

"This book makes everything so easy. Complicated tests are effortlessly condensed, and the instructions are almost too easy to follow. Diagrams and sample data sets are used frequently so you can practise using tests before applying them to your own data sets, whilst the logical layout guides you toward the correct test for both your data, and what you want to prove (or disprove)." (Animals & Men, February 2011)