The course aims to develop broad guidelines for a comprehensive approach to the state of the art statistical consulting. Topics include a guide to effective communication, issues of the ethical statistical practice and problem solving. Data exploration, criteria for the model selection, and other advanced data analysis methods are discussed through case studies. The use of SAS and R will be emphasized.
Statistical Consulting: A Guide to Effective Communication by Janice Derr, Duxbury Press
The Statistical Sleuth, A Course in Methods of Data Analysis by Ramsey and Schafer, Duxbury Press
Modern Applied Statistics with S by Venables, W.N. and Ripley, B.D, Springer
Problem Solving by Chatfields, Chapman & Hall/CRC.
Part I: Communication Skills and Professional Issues for Statisticians
Part II: Technical Issues for Statisticians:
a) Statistical Computing with R/SAS
Data Management, Data Exploration and Data Visualization
Commonly Used Data Analysis Procedures
b) Design and Analysis
Drawing Statistical Conclusion: Experimental Design versus Observational Study
Doing a Survey
Doing an Experimental Design
Selected Topics with Case Studies (Sample Size Issues, Regression, Time Series Analysis and Categorical Analysis)
Assignment and Project: There are weekly assignments, by-weekly projects, or presentations.
Final Project: A "real-world" project and an oral presentation.
Tentative Marking Scheme:
|Assignments & Projects 35%||Assignments & Projects 30%|
|Final Project 45%||Final Project 50%|
|Participation 20%||Participation 20%|
Software: You will be using the software packages: SAS and R. So please ensure that these software packages are installed on your computer. SAS 9.2 can be installed through the Acadia software program (P:\Programs\SAS). R can be downloaded from
Two of Math 3233, 3253, 3263, 3273, 3283, 3293.
Coreg: 3h course from above list
If you are a student with a documented disability who anticipates needing
accommodations in this course, please
after you meet
Disclaimer: Although this information is prepared with care, Acadia University or the instructors accept no responsibility for actions caused by misinformation or misinterpretation.
Page updated on Jan. 10, 2012.