Choosing and using statistics
a biologists guide
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Word Count
54,500 words, Guess
Page Count
218 pages
Identifiers
- Open LibraryOL367960M
- ISBN-100865426538
- OCLC Control Number48138222
- OCLC Control Number39281996
- OCLC Control Numberchoosingusingsta00dyth_888
and 3 more
- Library of Congress Control Number98028514
- LibraryThing202582
- Goodreads3924655
Classifications
- DDC570/.1/5195
- LCCQH323.5 .D98 1999
Description
"The new edition of this highly popular statistics book retains the successful format of the first edition. Coverage of analysis of variance and transformations is expanded and some commonly used tests, such as logistic regression, are now included. 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 SPSS, MINITAB and Excel. There are also chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The emphasis is on plain, jargon-free English but any unfamiliar terms can be consulted in the extensive glossary. Choosing and Using Statistics is an invaluable textbook and a must for every student who uses a computer package to apply statistics in practical and project work."--Jacket.
First Sentence
This is a very simple sequence that, it you follow it, will integrate the statistics you use into the process of scientific investigation.
Description
"This is a handbook 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."--BOOK JACKET.
Subjects
Other Editions
- Choosing and using statistics: a biologists guide
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