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- Title
The development of statistical literacy among students: Analyzing messages in media articles with Gal's worry questions.
- Authors
Delport, Danri Hester
- Abstract
Real‐world data are fundamental to modern teaching methodologies that aim to improve statistical knowledge and reasoning in students. Statistical information is encountered in everyday life, such as media articles and involves real‐world contexts. However, information could be biased or (mis)represented and students should be concerned about the validity of such articles, as well as the nature and trustworthiness of the evidence presented, while considering alternative interpretations of the findings conveyed to them. Statistics educators could make use of media articles to create opportunities for students to reflect on such (mis)representations and build statistical literacy. The purpose of this article is to show how information and data on the Omicron COVID‐19 variant have been (mis)represented in the media and by government entities. I also demonstrate how these examples may be utilized in the statistics classroom as they relate to concepts covered in most basic statistics courses.
- Subjects
SOUTH Africa; STATISTICAL literacy; SARS-CoV-2 Omicron variant; TRUST; TEACHING methods; STUDENTS; STATISTICS
- Publication
Teaching Statistics, 2023, Vol 45, Issue 2, p61
- ISSN
0141-982X
- Publication type
Article
- DOI
10.1111/test.12308