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Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With Jamovi by Duthie/A. Bradley

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With Jamovi

by Duthie , A. Bradley
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Rs. 5,604.00
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Book cover type: Paperback
  • ISBN13: 9781032687186
  • Binding: Paperback
  • Subject: Mathematics and Statistics
  • Publisher: T&F
  • Publisher Imprint: CRC Press
  • Publication Date:
  • Pages: 348
  • Original Price: 49.99 GBP
  • Language: English
  • Edition: N/A
  • Item Weight: 510 grams

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is an introductory textbook for learning statistics. It starts with the very basics and prioritises helping the reader to develop a conceptual understanding of statistics, and apply the most fundamental statistical tools. New concepts are introduced with examples designed to be familiar to the reader, serving as a useful starting point for exploring more abstract concepts.

Key Features:

Designed to be accessible for students learning statistics in biological and environmental sciences.
Utilizes the statistical software jamovi to explore new concepts.
Prioritizes good statistical judgement over adherence to protocols.

This book will be useful to students beginning their study of statistical concepts in biological and environmental sciences, whilst also acting as an insightful resource for teachers using jamovi in the classroom.  Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is a valuable resource for anyone who wishes to understand and apply statistical techniques commonly used in the biological and environmental sciences.

A. Bradley Duthie is a Lecturer in Environmental Modelling at the University of Stirling, Scotland, UK. He completed undergraduate degrees in Biology and Philosophy at Southern Illinois University Edwardsville. He earned his PhD in Ecology and Evolutionary Biology from Iowa State University with a graduate minor in Statistics. His research focuses primarily on theory and modelling in ecology and evolutionary biology with particular interests in evolutionary ecology and community ecology. He contributes to several research projects as a biostatistician and wrote and maintains two R packages for agentbased modelling.