Editors:
Johnson, R. W.
Type:
Category:
Volume:
13(2)
Year:
2005
Publisher:
Journal of Statistics Education
URL:
http://www.amstat.org/publications/jse/v13n2/datasets.kahn.html
Abstract:
A dataset concerning the relationship between respiratory function (measured by forced expiratory volume, FEV) and smoking provides a powerful tool for investigating a wide variety of statistical matters. This paper gives a brief description of the problem, the data, and several issues and analyses suggested by the problem of quantifying the relationship between FEV and smoking.
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