1. Introduction to Statistical Consulting.

Historical background,
the scientific method and 
the role of Statistics.

Life Sciences: The drug developmnent process,
Biostatistics, Genetics.
Business, Government, and more.

1. How to write reports.
2. How to make effective presentations.
3. Using Power Point for presentations.
4. Persuasive communication.

SAS and Splus.

Regression and ANOVA
General Linear Models.
Multivariate Analysis

1. Case Study: (Chi-square Analysis)
Discrimination case.

2. Case Study: (Survey)
The case of the lost mail.

3. Case Study: (Regression Analysis)
Expenditures of  NY municipalities.

4. Case Study: (Time Series)
The AQI index.

5. Case Study: (Dose Response)
The flick tail study.

Data Minig

6. Case Study: (Multivariate)
 Shopping patterns of TV viewers.

7. Case Study: (Pattern Recognition)
X-ray detection of plastic explosives

8.  Case Study: (Market Research)
Sales of orthopedic equipment

9.  FINAL REPORT

Syllabus 
Special Remarks