Calvin Dytham

Broschiertes Buch

Choosing and Using Statistics

A Biologists' Guide

Beschreibung

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 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 edition of Choosing and Using Statistics is a trusted companion for all students who use a computer package to apply statistics in practical and project work.

Produktdetails

• Verlag: John Wiley & Sons Inc
• 4. Auflage
• Seitenzahl: 400
• Erscheinungstermin: 6. August 2026
• Englisch
• Abmessung: 254mm x 178mm
• ISBN-13: 9781119838128
• ISBN-10: 1119838126
• Artikelnr.: 75427658

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)