Insights in experimental data through intuitive and interactive statistics

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1 Citation (Scopus)

Abstract

It is not unusual for empirical scientists, who are often not specialists in statistics, to have only limited trust in the statistical analyses that they apply to their data. The claim of this course is that an improved human-computer interaction with statistical methods can be accomplished by providing a simple mental model of what statistics does, and to support this model through well-chosen visualizations and interactive exploration. In order to support this proposed approach, an entirely new program for performing interactive statistics, called ILLMO, was developed. This course will use examples of frequent statistical tasks such as hypothesis testing, linear regression and clustering to introduce the key concepts underlying intuitive and interactive statistics.

Original languageEnglish
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Number of pages4
ISBN (Electronic)978-1-4503-5971-9
DOIs
Publication statusPublished - 2 May 2019
Event2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Scottish Event Campus, Glasgow, United Kingdom
Duration: 4 May 20199 May 2019
https://chi2019.acm.org/

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

Keywords

  • Confirmatory statistics (linear regression)
  • Exploratory statistics (clustering)
  • Hypothesis testing
  • Interactive statistics
  • Likert scales

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