Choosing and Using Statistics (eBook)

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.

Preface.

1. Eight steps to successful data analysis.

2. The basics.

3. Choosing a test: a key.

4. Hypothesis testing, sampling and experimental design.

5. Statistics, variables and distributions.

6. Descriptive and presentational techniques.

7. The tests - 1: tests to look at differences.

8. The tests - 2: tests to look at relationships.

9. The tests - 3: tests for data investigation.

10. Symbols and letters used in statistics.

11. Glossary.

12. Assumptions of the tests.

13. Hints and tips.

14. A table of statistical tests.

Index.

" A student affordable recommended purchase with no equation in
sight!" Microbiology Today, Feb 2000

"It would be an interesting experiment (with appropriate
statistical tests of course), to see how often a lab copy was used
by researchers and academic staff. I suspect it would be rather
frequently and with good reason!" Biologist Vol 46 No 4

"In summary, an excellent text with a refreshing viewpoint."
TecNews, May 1999

"A valuable handbook for all biologists completing statistical
analysis." Sherkin Comment, October 2000

"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 that is produced...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 considration of multivariate analysis, data exploration
and further examples of Principle Component Analysis and
Discriminate Function Analysis are given." Ethology, Ecology and
Evolution, Volume 15, No 3, September 2003