Dix A. Statistics for Hci: Making Sense of Quantitative Data

New York: Morgan & Claypool, 2020. — 160 p. — (Synthesis Lectures on Human-Centered Informatics №44). — ISBN 9781681737430.Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical studies, and other forms of quantitative data gathering.Wild and Wide – Concerning Randomness and Distributions
The unexpected wildness of random
Properties of randomness
Characterising the random through probability distributions
Doing it – If not p then What
Probing the unknown
Traditional statistics
Bayesian methods
Common issues
Differences and distinctions
Design and Interpretation
Gaining power – the dreaded ‘too few participants’
So what? — making sense of results
Moving forward: the future of statistics in HCI