Learning from COVID-19

Ramesh Kapadia*, Ayse Aysin Bilgin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

People’s lives have been severely disrupted by COVID-19, with high numbers in hospitals and many deaths after the initial outbreak in China. If the efforts of many statistics educators were fulfilled to increase the number of statistically literate citizens who can make evidence-based decisions based on accurate data, we may have had lower infection and death rates. Unfortunately, the data is rather unreliable, especially with the use of self-testing and reporting. In this paper, we assert that statistics requires context to quantify risk. We present data and a summary of developments in Australia and England with the hope that case studies can be developed for students to understand risk better.
Original languageEnglish
Title of host publicationBridging the Gap: Empowering and Educating Today's Learners in Statistics
Subtitle of host publicationProceedings of the 11th International Conference on Teaching Statistics (ICOTS11)
EditorsS. A. Peters, L. Zapata-Cardona, F. Bonafini, A. Fan
Place of PublicationRosario, Argentina
PublisherInternational Association for Statistical Education
Number of pages6
DOIs
Publication statusPublished - 2022
Event11th International Conference on Teaching Statistics (ICOTS 11) - Rosario, Argentina
Duration: 11 Sept 202216 Sept 2022

Conference

Conference11th International Conference on Teaching Statistics (ICOTS 11)
Country/TerritoryArgentina
CityRosario
Period11/09/2216/09/22

Keywords

  • statistics education
  • COVID-19
  • Risk Management
  • Data reliability

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