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