Incorporating Open Data Into Introductory Courses in Statistics. Issue 3 (2nd September 2019)

• Record Type: Journal Article
• Authors: Rivera, Roberto; Marazzi, Mario; Torres-Saavedra, Pedro A.
• Is Part Of: Journal of statistics education. Volume 27:Issue 3(2019)
• Page Start: 198
• Page End: 207
• Publication Date: 2019-09-02
• Subjects: Data science -- GAISE guidelines -- Open data -- Real data -- Statistics education; Statistics -- Study and teaching -- Periodicals; Statistics -- Study and teaching; Periodicals; 519.5071
• DOI: 10.1080/10691898.2019.1669506
• Languages: English
• ISSNs: 1069-1898

Abstract

Abstract: The 2016 Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report emphasized six recommendations to teach introductory courses in statistics. Among them: use of real data with context and purpose. Many educators have created databases consisting of multiple datasets for use in class; sometimes making hundreds of datasets available. Yet "the context and purpose" component of the data may remain elusive if just a generic database is made available. We describe the use of open data in introductory courses. Countries and cities continue to share data through open data portals. Hence, educators can find regional data that engage their students more effectively. We present excerpts from case studies that show the application of statistical methods to data on: crime, housing, rainfall, tourist travel, and others. Data wrangling and discussion of results are recognized as important case study components. Thus, the open data based case studies attend most GAISE College Report recommendations. Reproducible R code is made available for each case study. Example uses of open data in more advanced courses in statistics are also described. Supplementary materials for this article are available online.