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Statistics for HCI [electronic resource] : Making Sense of Quantitative Data / by Alan Dix.

By: Dix, Alan [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Human-Centered Informatics: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XIX, 161 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031022289.Subject(s): User interfaces (Computer systems) | Human-computer interaction | User Interfaces and Human Computer InteractionAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 005.437 | 004.019 Online resources: Click here to access online
Contents:
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 .
In: Springer Nature eBookSummary: 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.
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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 .

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.

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