Type:
Volume:
3(2)
Pages:
Online
Year:
2009
Publisher:
Technology Innovations in Statistics Education (TISE)
URL:
http://escholarship.org/uc/item/7d02d6hd
Abstract:
This paper addresses the problem of generating a large number of data sets for classes of students that exhibit certain characteristics but which are sufficiently different to minimize the possibility of plagiarism. A number of R functions are provided to perform the production of the data and the answers to the relevant data.
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