Choosing Using Statistics 2e

by Calvin Dytham

Book Overview

The first edition of this excellent handbook was extremely well received by both students and lecturers alike. It has helped to simplify the often complex and difficult task of choosing and using the right statistics package. This is a book for any student or professional biologist 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...

• Format: Paperback
• Language: English
• ISBN: 1405102438
• ISBN13: 9781405102438
• Release Date: February 2003
• Publisher: Wiley-Blackwell
• Length: 264 Pages
• Weight: 1.05 lbs.
• Dimensions: 0.6" x 6.8" x 9.7"

Customer Reviews

The most practical statistics book I have ever used.

The author provides very clear and easy to follow explanations of the type of tests used and when they should be used. Furthermore, he provides step by step instructions for using the tests in SPSS, minitab, and excel, something that few other books do.

Relief for those who don't speak in equations

This is a great, practical book for ecological and evolutionary researchers. Dytham walks you through the choosing and using of different common statistical applications. If you can't find it in here, you probably have an advanced question that requires a mathematical answer, in which case it's time to dust off that heavy textbook. For most questions, this will save you time and frustration.

How to make statistics clear: a book to be ready-to-go

After too many books with a useless wealth of equations to leave you in a worse confusion here is finally a book to give you hints and tools to tackle the problem. Good coverage of both parametric and less known non-parametric statistics, modern approach through coverage of popular packages, keys to choose the various tests and lots of examples and hints for the experimental design. Generally a complete book which manages to cover with a sensible balance from the basics to more complicated designs for ANOVA evaluations.