Revival: Biostatistics (1993): Concepts and Applications for Biologists

Author:   Brian Williams
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138557772


Pages:   214
Publication Date:   25 January 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Revival: Biostatistics (1993): Concepts and Applications for Biologists


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Overview

This book is a first course in statistics for students of biology. Most of the examples have an ecological bias, but illustrate principles which have direct relevance for biologists doing laboratory work. The structured approach begins with basic concepts, and progresses towards an appreciation of the needs and use of analysis of variance and regression, and includes the use of computer statistical packages. The work is clearly explained with worked examples of real-life biological problems, and should be suitable for undergraduate students engaged in quantitative biological work. Biostatistics should give students a sound grasp of the key principles of biological statistics without overwhelming detail, and should allow students to quickly apply techniques to their own work and data.

Full Product Details

Author:   Brian Williams
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138557772


ISBN 10:   1138557773
Pages:   214
Publication Date:   25 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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This book is intended as a first courst in statistics for biology students. Topics convered include probability, distributions, hypothesis testing, comparisons, analysis of variance and regression. -CAB Abstracts


This book is intended as a first courst in statistics for biology students. Topics convered include probability, distributions, hypothesis testing, comparisons, analysis of variance and regression. -CAB Abstracts


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