
„ A student affordable recommended purchase with no equation insight!“ Microbiology Today, Feb 2000
„It would be an interesting experiment (with appropriatestatistical tests of course), to see how often a lab copy was usedby researchers and academic staff. I suspect it would be ratherfrequently 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 statisticalanalysis.“ Sherkin Comment, October 2000
„The first edition of this excellent handbook was extremely wellreceived by both students and lecturers alike. It has helped tosimplify the often complex and difficult task of choosing and usingthe right statistics package. This is a book for any student orprofessional biologist who wants to process data using astatistical package on the computer, to select appropriate methodsand extract the important information from the often confusingoutput that is produced... The new edition has been updated to coverthe very latest versions of the computer packages described, expanded to include coverage for logistic regression, a moredetailed considration of multivariate analysis, data explorationand further examples of Principle Component Analysis andDiscriminate Function Analysis are given.“ Ethology, Ecology andEvolution, Volume 15, No 3, September 2003
This is a book for any student or professional biologist whowants to process data using a statistical package on the computer, to select appropriate methods, and extract the importantinformation from the often confusing output that is produced. It isaimed primarily at undergraduates and masters students in thebiological sciences who have to apply statistics in practicalclasses and projects. Such users of statistics do not have tounderstand either how tests work or how to do the calculations, andthese aspects are not covered in the book.
The new edition has been updated to cover the very latestversions of the computer packages described, expanded to includecoverage for logistic regression, a more detailed consideration ofmultivariate analysis, data exploration and further examples ofPrinciple Component Analysis and Discriminate Function Analysis aregiven.
* * New edition will use SPSS 10.0, Minitab 13.1 and Excel2000.
* New simplified version of the Key and flow chart of decisionsto reach simple statistical tests.
* Section on multivariate techniques expanded to give furtherexamples of PCA and DFA.
* Aimed at students using statistics for projects and inpractical classes.
* Statistical jargon explained through an extensive glossary andkey to symbols.
* Stresses the importance of experimental design, measurement ofdata and interpretation of results rather than an understanding ofthe statistical tests themselves.