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. This book aims to help readers navigate this morass: to understand the debates to be able to read and assess other peoples statistical reports and make appropriate choices when designing and analysing their own experiments empirical studies and other forms of quantitative data gathering. 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 Authors Biography Index .