1st Edition
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences With jamovi
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, 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.
"It is a commonly held premise that the application of standard statistical tools and techniques does not require the knowledge of advanced mathematical theories. This textbook successfully puts this premise into practice by pairing concepts with case studies. It is also a commonly held premise that software packages for statistical analysis require a steep learning curve. This textbook dismisses this premise by pairing practice with new statistical software, jamovi. In the 35 chapters of this book, Dr. Duthie provides an accessible introduction to the basic concepts of statistics suitable for the statistics-naïve reader (chapters 1-14), takes a deeper dive into the concepts of probability and hypothesis testing (chapters 15-26), and discusses concepts of correlation, regression, and randomization that are commonly used in biological and environmental science research studies (chapters 27-35). He introduces straightforward examples that serve as a basis for more abstract concepts covered later in the text."
-Morenikeji Akinlotan, Mildred Mmbone Lumwamu, Kerrie Mengersen in Biometrics, October 2025
