Experimental Design and Data Analysis for Biologists Paperback / softback
by Gerry P. (Deakin University, Victoria) Quinn, Michael J. (University of Melbourne) Keough
Paperback / softback
- Information
Description
Applying statistical concepts to biological scenarios, this established textbook continues to be the go-to tool for advanced undergraduates and postgraduates studying biostatistics or experimental design in biology-related areas.
Chapters cover linear models, common regression and ANOVA methods, mixed effects models, model selection, and multivariate methods used by biologists, requiring only introductory statistics and basic mathematics.
Demystifying statistical concepts with clear, jargon-free explanations, this new edition takes a holistic approach to help students understand the relationship between statistics and experimental design.
Each chapter contains further-reading recommendations, and worked examples from today's biological literature.
All examples reflect modern settings, methodology and equipment, representing a wide range of biological research areas.
These are supported by hands-on online resources including real-world data sets, full R code to help repeat analyses for all worked examples, and additional review questions and exercises for each chapter.
Information
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:405 pages, 140 Halftones, black and white
- Publisher:Cambridge University Press
- Publication Date:07/09/2023
- Category:
- ISBN:9781107687677
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:405 pages, 140 Halftones, black and white
- Publisher:Cambridge University Press
- Publication Date:07/09/2023
- Category:
- ISBN:9781107687677