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Biomeasurement

Author: Dawn May Hawkins
Publisher: Oxford ; New York : Oxford University Press, ©2005.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"Biomeasurement offers a refreshing, student-focused introduction to the use of statistics in the study of the biosciences. With an emphasis on why statistical techniques are essential tools for bioscientists, the book gives students the motivation and confidence to use and further explore the key techniques for themselves." "The book guides the student through the use of descriptive and inferential statistics,  Read more...
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Additional Physical Format: Online version:
Hawkins, Dawn May.
Biomeasurement.
Oxford ; New York : Oxford University Press, ©2005
(OCoLC)645898608
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Dawn May Hawkins
ISBN: 0199265151 9780199265152
OCLC Number: 60416825
Description: xxv, 284 pages : illustrations ; 25 cm
Contents: 1. Why am I reading this book? --
2. Getting to grips with the basics --
3. Describing a single sample --
4. Inferring and estimating --
5. Overview of hypothesis testing --
6. Tests on frequencies --
7. Tests of difference : two unrelated samples --
8. Tests of difference : two related samples --
9. Tests of difference : more than two samples --
10. Tests of relationship : regression --
11. Tests of relationship : correlation --
12. Choosing the right test and graph --
App. I. How to enter data into SPSS --
App. II. Statistical tables of critical values.
Responsibility: Dawn Hawkins.
More information:

Abstract:

"Biomeasurement offers a refreshing, student-focused introduction to the use of statistics in the study of the biosciences. With an emphasis on why statistical techniques are essential tools for bioscientists, the book gives students the motivation and confidence to use and further explore the key techniques for themselves." "The book guides the student through the use of descriptive and inferential statistics, walking them step-wise through the key statistical techniques, using carefully integrated examples, with plentiful opportunities for hands-on practice to help explain how and why each test is used."--Jacket.

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