The first edition of excellent handbook was extremely well received by both students and ... more
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 ...
Postage & Packaging: £0.00 Availability: 3-5 working days
Advantages: Impossible to put a statistical foot wrong with such clear and concise explanations Disadvantages: None: I wish all statistics books were this well written
Most advanced statistics books are usually either all theory or all practice. Using Multivariate Statistics is a carefully crafted blend of pure theory, application and discussion which the authors update every five years or so. The material is revised regularly to ensure that the commentary on the computer packages is up to date and that any new fads or fashions in the world of research are included (eg structural equation modelling was added to the Third Edition after an upsurge the use of this technique).
If you’re already starting to feel a bit nervous or statistically inadequate you might want to skip the next couple of paragraphs and go straight to comments under the subheadings. The last thing I want to do it put anyone off what is a very accessible volume that can be easily understood by graduate students ...
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Product Information for "Choosing and Using Statistics - Calvin Dytham" »
Product details
EAN
9781405102438
Type
Non-Fiction
Genre
Information Technology
Publisher
Blackwell Science Ltd
Title
Choosing and Using Statistics
Author
Calvin Dytham
ISBN
1405102438
Manufacturer's product description
The first edition of 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 that is produced. It is aimed primarily at undergraduates and masters students in the biological sciences who have to apply statistics in practical classes and projects. Such users of statistics do not have to understand either how tests work or how to do the calculations and these aspects are not covered in the book. The new edition has been updated to cover the very latest versions of the computer packages described expanded to include coverage for logistic regression a more detailed consideration of multivariate analysis data exploration and further examples of Principle Component Analysis and Discriminate Function Analysis are given.
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