Statistics for HCI
making sense of quantitative data
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about
credits
second edition
table of contents
Chapter 1: Introduction
Chapter 2: The unexpected wildness of random
Chapter 3: Properties of randomness
Chapter 4: Characterising randomness through probability distributions
Chapter 5: Probing the unknown
Chapter 6: Traditional statistics
Chapter 7: Bayesian methods.
Chapter 8: Common issues
Chapter 9: Differences and distinctions
Chapter 10: Empirical and simulation methods — beyond fixed tests
Chapter 11: Big Data — seeing through the forest
Chapter 12: AI — intelligence but not as we know it
Chapter 13: Gaining power — the dreaded ‘too few participants’
Chapter 14: So what? — making sense of results
Chapter 15: Moving forward: the future of statistics in HCI
book
table of contents
Chapter 1: Introduction
Chapter 2: The unexpected wildness of random
Chapter 3: Properties of randomness
Chapter 4: Characterising the random through probability distributions
Chapter 5: Probing the unknown
Chapter 6: Traditional statistics
Chapter 7: Bayesian methods
Chapter 8: Common issues
Chapter 9: Differences and distinctions
Chapter 10: Gaining power — the dreaded ‘too few participants’
Chapter 11: So what? — making sense of results
Chapter 12: Moving forward: the future of statistics in HCI
events
CHI2023
CHI 2022
CHI 2021
MobileHCI2020 Tutorial
master class Feb 2020
attendee information
talking data
course
about
summary
instructor
part 1 – wild and wide
part 2 – doing it
part 3 – gaining power
part 4 – so what
resources
glossary
blog
old site
Chapter 11: Big Data — seeing through the forest
