Before attending this course, you should have completed the Introduction to Statistics using SAS 9.2: ANOVA, Linear Regression & Logistic Regression course or equivalent training and have experience with regression models.

Who should attend?
Business analysts and market researchers with experience using regression analysis.

• determine the appropriate sample size for your tests
• build efficient experimental designs that generate as much information as possible for minimum cost
• identify challenges associated with analysing experimental designs
• test as many factors as possible in a given campaign
• apply well-known experimental design practices to direct marketing efforts.

Efficient Experimentation

• practical and technical definitions of efficiency

Testing a Single Factor

• hypothesis testing
• experimental design terminology
• power and sample size
• balance

Testing Multiple Factors

• two or more factors
• orthogonality
• blocking

Too Many Treatments

• fractional factorials
• orthogonal arrays
• optimal design and efficiency
• augmenting and customizing designs

Software Addressed

This course addresses the following software product(s): SAS/QC, SAS/GRAPH. This course also addresses SAS/IML and SAS STAT. Without SAS/IML software you can still generate many of the designs used in this course. Without SAS/QC, none of the designs in the final chapter can be generated.