1st Edition

# Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences With jamovi

376 Pages 51 Color & 61 B/W Illustrations
by Chapman & Hall

376 Pages 51 Color & 61 B/W Illustrations
by Chapman & Hall

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

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