table of contents

1. Introduction
2. The unexpected wildness of random
3. Properties of randomness
4. Characterising randomness through probability distributions
5. Probing the unknown
6. Traditional statistics
7. Bayesian methods.
8. Common issues
9. Differences and distinctions
10. Empirical and simulation methods – beyond fixed tests
11. Big Data – seeing through the forest
12. AI – intelligence but not as we know it
13. Gaining power – the dreaded ‘too few participants’
14. So what? – making sense of results
15. Moving forward: the future of statistics in HCI