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ERIC Number: EJ892400
Record Type: Journal
Publication Date: 2010
Pages: 16
Abstractor: As Provided
Reference Count: 15
ISBN: N/A
ISSN: ISSN-1069-1898
The Effects of Data and Graph Type on Concepts and Visualizations of Variability
Cooper, Linda L.; Shore, Felice S.
Journal of Statistics Education, v18 n2 2010
Recognizing and interpreting variability in data lies at the heart of statistical reasoning. Since graphical displays should facilitate communication about data, statistical literacy should include an understanding of how variability in data can be gleaned from a graph. This paper identifies several types of graphs that students typically encounter--histograms, distribution bar graphs, and value bar charts. These graphs all share the superficial similarity of employing bars, and yet the methods to perceive variability in the data differ dramatically. We provide comparisons within each graph type for the purpose of developing insight into what variability "means" and how it is evident within the data's associated graph. We introduce graphical aids to visualize variability for histograms and value bar charts, which could easily be tied to numerical estimates of variability. (Contains 6 figures and 2 footnotes.)
American Statistical Association. 732 North Washington Street, Alexandria, VA 22314. Tel: 703-684-1221; Tel: 888-231-3473; Fax: 703-684-2037; e-mail: asainfo@amstat.org; Web site: http://www.amstat.org/publications/jse
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Elementary Secondary Education; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A