NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ874186
Record Type: Journal
Publication Date: 2005
Pages: 12
Abstractor: As Provided
Reference Count: 28
ISSN: ISSN-1744-2710
Representational Versatility in Learning Statistics
Graham, Alan T.; Thomas, Michael O. J.
International Journal for Technology in Mathematics Education, v12 n1 p3-14 2005
Statistical data can be represented in a number of qualitatively different ways, the choice depending on the following three conditions: the concepts to be investigated; the nature of the data; and the purpose for which they were collected. This paper begins by setting out frameworks that describe the nature of statistical thinking in schools, and suggests how they can be used explicitly by teachers and students to support work on statistical investigations. It goes on to describe some of the ways in which students at school level can interact with different statistical representations using technology, and illustrates the interactions using common examples of statistical diagrams, graphs and tables. The descriptions of these interactions are based on a theory of representational versatility that espouses the importance of engaging with statistical representations in a conceptual as well as a procedural manner. Some implications for the teaching and learning of statistics are also considered. (Contains 3 tables and 4 figures.)
Research Information Ltd. Grenville Court, Britwell Road, Burnham, Buckinghamshire, SL1 8DF, UK. Tel: +44-1628-600499; Fax: +44-1628-600488; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A