Statistics for HCI

Making Sense of Quantitative Data

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. Les mer
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Vår pris: 1409,-

(Innbundet) Fri frakt!
Leveringstid: Ikke i salg
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Om boka

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.

Fakta

Innholdsfortegnelse

Preface
Acknowledgments
Introduction
The unexpected wildness of random
Properties of randomness
Characterising the random through probability distributions
Probing the unknown
Traditional statistics
Bayesian methods
Common issues
Differences and distinctions
Gaining power -- the dreaded `too few participants'
So what? --- making sense of results
Moving forward: the future of statistics in HCI
Bibliography
Author's Biography
Index