Data (Mis)representation and COVID-19: Leveraging Misleading Data Visualizations For Developing Statistical Literacy Across Grades 6–16

Author:

Engledowl Christopher1ORCID,Weiland Travis2

Affiliation:

1. School of Teacher Preparation, Administration & Leadership, New Mexico State University, Las Cruces, NM

2. Department of Curriculum and Instruction, University of Houston, Houston, TX

Publisher

Informa UK Limited

Reference15 articles.

1. Acquah, K. (2020, May), “Getting in to a Causal Flow.” Causal Flows: A Causal Introduction to Causal Inference for Business Analytics. Available at: https://www.causalflows.com/introduction/

2. Bargagliotti, A., Franklin, C., Arnold, P., Gould, R., Johnson, S., Perez, L., and Spangler, D. A. (2020), Pre-K–12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II): A Framework for Statistics and Data Science Education. American Statistical Association. https://www.amstat.org/asa/education/Guidelines-for-Assessment-and-Instruction-in-Statistics-Education-Reports.aspx

3. Cairo, A. (2020, May 20), “About That Weird Georgia Plot,” Cairo. Available at: http://www.thefunctionalart.com/2020/05/about-that-weird-georgia-chart.html

4. Engledowl, C., and Gorham Blanco, T. (2019, September), “Using LOCUS Released Items With Practicing Teachers,” Statistics Teacher. https://www.statisticsteacher.org/2019/09/19/using-locus-released-items/

5. GAISE College Report ASA Revision Committee. (2016), Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report 2016. American Statistical Association. http://www.amstat.org/education/gaise

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