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Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677
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Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677

Experimental Design and Data Analysis for BiologistsAuthor(s): Gerry P. Quinn, Michael J. Keough

Format: Paperback

Publisher: Cambridge University Press, United Kingdom

Imprint: Cambridge University Press

ISBN-13: 9781107687677, 978-1107687677

Synopsis

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 biol.

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Experimental Design and Data Analysis for Biologists by Gerry... - 9781107687677

Experimental Design and Data Analysis for BiologistsAuthor(s): Gerry P. Quinn, Michael J. Keough

Format: Paperback

Publisher: Cambridge University Press, United Kingdom

Imprint: Cambridge University Press

ISBN-13: 9781107687677, 978-1107687677

Synopsis

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 biol.

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Experimental Design And Data Analysis For Biologists Gerry P. (Deakin University, Victoria) Quinn

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Product Description

Experimental Design and Data Analysis for BiologistsAuthor(s): Gerry P. Quinn, Michael J. Keough

Format: Paperback

Publisher: Cambridge University Press, United Kingdom

Imprint: Cambridge University Press

ISBN-13: 9781107687677, 978-1107687677

Synopsis

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 biol.

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Cambridge University Press

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paperback

Language

eng

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book

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