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Statistical and data handling skills in biology / Roland Ennos, University of Hull in the School of Environmental Sciences, Magnus L. Johnson, University of Hull in the School of Environmental Sciences.

By: Contributor(s): Material type: TextPublisher: Harlow : Pearson Education Limited, 2018Edition: Fourth editionDescription: xix, 258 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781292086033
Subject(s): Genre/Form: DDC classification:
  • 570.15195 ENN 22
Summary: The ability to expertly analyse statistical data is a crucial skill in the biological sciences - it is fundamental to fully understanding what your experiments are actually telling you. Statistical and Data Handling Skills in Biology gives you everything you need to master the key skills of statistical analysis. Written in a straight-forward and easy to understand style it presents all of the tests you will need throughout your studies, and shows you how to select the right tests to get the most out of your experiments. All of this is done in the context of biological examples so you can see.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book - Borrowing Central Library First floor Baccah 570.15195 ENN (Browse shelf(Opens below)) Available 000044409
Total holds: 0

Includes glossary.

Includes bibliographical references and index.

The ability to expertly analyse statistical data is a crucial skill in the biological sciences - it is fundamental to fully understanding what your experiments are actually telling you. Statistical and Data Handling Skills in Biology gives you everything you need to master the key skills of statistical analysis. Written in a straight-forward and easy to understand style it presents all of the tests you will need throughout your studies, and shows you how to select the right tests to get the most out of your experiments. All of this is done in the context of biological examples so you can see.

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