Data Analysis Knowledge Among Preservice Elementary Education Teachers


Book: 
Proceedings of the sixth international conference on teaching statistics, Developing a statistically literate society
Authors: 
Thomas, C. S.
Editors: 
Phillips, B.
Category: 
Pages: 
Online
Year: 
2002
Publisher: 
International Statistical Institute
URL: 
http://www.stat.auckland.ac.nz/~iase/publications/1/10_23_ct.pdf
Abstract: 

This study investigated whether elementary education majors in the teacher education program at Montana State University (MSU) acquire and retain knowledge of statistical data analysis concepts and skills consistent with expectations specified in the NCTM "Principles and Standards for School Mathematics" (2000). The following statistical topics were covered: Finding, describing and interpreting mean, median and mode; interpreting the spread of a set of data; understanding the meaning of the shape and features of a graph; comparing centers, spreads, and graphical representations of related data sets; and using scatter plots and lines of best fit.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education

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