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Autor/inn/enHsu, Jane Lu; Jones, Abram; Lin, Jia-Huei; Chen, You-Ren
TitelData Visualization in Introductory Business Statistics to Strengthen Students' Practical Skills
QuelleIn: Teaching Statistics: An International Journal for Teachers, 44 (2022) 1, S.21-28 (8 Seiten)
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ZusatzinformationORCID (Hsu, Jane Lu)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0141-982X
DOI10.1111/test.12291
SchlagwörterStatistics Education; Introductory Courses; COVID-19; Pandemics; Programming Languages; Data Analysis; Teaching Methods; Business Administration Education; Computer Software; Cognitive Style; Skill Development
AbstractThe objective of this study is to present and discuss how data visualization can be incorporated into teaching approaches by business faculty in introductory business statistics to strengthen business students' practical skills. Data visualization lessens difficulties in learning statistics by providing opportunities to illustrate analytical findings in graphic form, which is essential for learners with different learning styles. Familiarizing students with Excel, Python, or other software in introductory business statistics is beneficial in helping them attain statistical literacy by analyzing real-world data such as COVID-19 statistics. Using such data equips students with knowledge of statistical implementation--a core skill in the business world. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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