Christopher Engledowl|Travis Weiland
Data (Mis)representation and COVID-19: Leveraging Misleading Data Visualizations For Developing Statistical Literacy Across Grades 6–16
New Mexico State University|University of Houston
novel coronavirus forced world interact data visualizations order make decisions individual level sometimes grave consequences result lack statistical literacy among general public well organizations responsibility share accurate clear timely information general public resulted widespread misrepresentations misinterpretations article showcase examples data related covid19 pandemic misrepresented media governmental agencies discuss plausible reasons misrepresented build examples draw connections could used enhance statistics teaching learning especially relates secondary introductory tertiary statistics quantitative reasoning coursework