Book:
Proceedings of the Seventh International Conference On Teaching Statistics (ICOTS-7), Salvador, Brazil.
Editors:
Rossman, A., & Chance, B.
Type:
Category:
Year:
2006
Publisher:
Voorburg, The Netherlands: International Statistical Institute.
URL:
http://www.stat.auckland.ac.nz/~iase/publications/17/7G3_ENGE.pdf
Abstract:
We consider the role of technology in learning concepts of modeling univariate functional dependencies. It is argued that simple scatter plot smoothers for univariate regression problems are intuitive concepts that- beyond their intended usefulness in providing a possible answer to more intricate regression problem - may serve as a paradigm for statistical thinking, detecting structure in noisy data. Simulation may play a decisive role in understanding the underlying concepts and acquiring insight into the relationship between structural and random variation.
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