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ERIC Number: EJ848464
Record Type: Journal
Publication Date: 2004-Nov
Pages: 25
Abstractor: As Provided
Reference Count: 51
ISBN: N/A
ISSN: ISSN-1570-1824
Strategies for Managing Statistical Complexity with New Software Tools
Hammerman, James K.; Rubin, Andee
Statistics Education Research Journal, v3 n2 p17-41 Nov 2004
New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data, specifically in the context of comparing groups. The two methods we discuss are 1) reducing the apparent variability in a data set by grouping the values using numerical bins or cut points and 2) using proportions to interpret the relationship between bin size and group size. This work is based on our observations of middle- and high-school teachers in a professional development seminar, as well as of students in these teachers' classrooms, and in a 13-week sixth grade teaching experiment. We conclude with remarks on the implications of these uses of new software tools for research and teaching. (Contains 9 figures.)
International Association for Statistics Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail: isi@cbs.nl; Web site: http://www.stat.auckland.ac.nz/~iase/serj
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Elementary Secondary Education; High Schools; Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Massachusetts