@inproceedings{31e5dcea01844c8ba23b853c0de46221,
title = "Statistics for HCI",
abstract = "Many researchers and practitioners find statistics confusing. This course aims to help change that, to give attendees an understanding of the meaning of the various statistics they see in papers or need to use in their own work. The course builds on the instructor's previous tutorials and master classes including at CHI 2017, and on his recently published book {"}Statistics for HCI: Making Sense of Quantitative Data{"}. The course will focus especially on material you will not find in a conventional textbook or statistics course including aspects of statistical g€craft' skill, and it will also offer the attendees an introduction to some of the instructor's extensive additional online material.",
keywords = "Bayesian statistics, Statistics, evaluation, human-computer interaction, hypothesis testing, statistical crisis",
author = "Alan Dix",
note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021 ; Conference date: 08-05-2021 Through 13-05-2021",
year = "2021",
month = may,
day = "8",
doi = "10.1145/3411763.3445018",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021",
}