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
This?is an introductory textbook for learning statistics. It helps?the reader develop a conceptual understanding of statistics.?New concepts are introduced with examples designed to be familiar to the reader, serving as a useful starting point for exploring more abstract concepts.
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 ls"