1st Edition
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences With jamovi
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 is a valuable resource for anyone who wishes to understand and apply statistical techniques commonly used in the biological and environmental sciences.
Preface
1. Background mathematics
2. Data organisation
3. Practical. Preparing data
4. Populations and samples
5. Types of variables
6. Accuracy, precision, and units
7. Uncertainty propagation
8. Practical. Introduction to jamovi
9. Decimal places, significant figures, and rounding
10. Graphs
11. Measures of central tendency
12. Measures of spread
13. Skew and Kurtosis
14. Practical. Plotting and statistical summaries in jamovi
15. Introduction to probability models
16. The Central Limit Theorem (CLT)
17. Practical. Probability and simulation
18. Confidence intervals (CIs)
19. The t-interval
20. Practical. z- and t- intervals
21. What is hypothesis testing?
22. The t-test
23. Practical. Hypothesis testing and t-tests
24. Analysis of variance
25. Multiple comparisons
26. Kruskall-Wallis H test
27. Two-way ANOVA
28. Practical. ANOVA and associated tests
29. Frequency and count data
30. Correlation
31. Practical. Analysis of counts and correlations
32. Simple linear regression
33. Multiple regression
34. Practical. Using regression
35. Randomisation
Appendix
A. Answers to chapter exercises
B. Uncertainty derivation
Bibliography
Index
Biography
A. Bradley Duthie is a Lecturer in Environmental Modelling at the University of Stirling. Brad completed undergraduate degrees in Biology and Philosophy at Southern Illinois University Edwardsville. He finished his PhD in Ecology and Evolutionary Biology at 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 also contributes to several research projects as a biostatistician and wrote and maintains two R packages for agent-based modelling.
