The Statistics program at Elon uses SAS© as its primary statistical computing software. R© is also used in upper level statistics courses.
The following is the past book information for the Statistics courses. Please be sure to consult the bookstore or the instructor for the most up to date information on textbooks.
|STS/MTH 212: Statistics in Application||The Statistical Sleuth (2nd Edition), by F.L. Ramsey, and D.W. Schafer (Duxbury, 2002)|
|STS 213: Survey Sampling Methods||Elementary Survey Sampling (6th edition), by Richard L. Scheaffer, William Mendenhall III, and R. Lyman Ott (Duxbury, 2006)|
|STS 232: Statistical Modeling||Applied Linear Regression Models (4th edition), by Kutner, Nachtsheim & Neter (McGraw-Hill, 2004)|
|STS 256: Applied Nonparametric Statistics||Introduction to Nonparametric Statistics, by James J. Higgins. (Duxbury, 2004)|
|STS 325: Design & Analysis of Experiments||Introduction to Design and Analysis of Experiments, by George Cobb (Key College Publishing, 1998)|
|STS 327: Statistical Computing||
(1) The Little SAS Book: A Primer (4th Edition), by L.D. Delwiche and S.J. Slaughter (SAS Institute, 2008)|
(2) R in Action, by Robert I. Kabacoff (MEAP, 2009)
|STS/MTH 341: Probability Theory and Statistics||A Course in Probability, by N.A. Weiss, (Pearson, 2005)|
|STS 342: Statistical Theory||A Course in Probability, by N.A. Weiss, (Pearson, 2005)|