Design of Experiments for Direct Marketing

Duration: 3.0 days

Audience

This Level III course is designed for market researchers who want to design experiments with more than one factor.

Course Description

This course focuses on the following key areas: sample size and power calculations, designing and analyzing two-factor experiments to measure interactions, and designing and analyzing multifactor experiments with a large number of factors. For multifactor experiments, the designs discussed are full factorial designs, fractional factorial designs, orthogonal arrays, and optimal designs.

Prerequisites

Before attending this course, you should have completed the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.

Course Contents

Introduction to Direct Marketing

• Experimenting in Direct Marketing
• Power

Testing with Two or More Factors

• Two Factors, Each at Two Levels
• Multiple Factor Designs

Improving Design Efficiency

• Blocking
• Random and Fixed Effects
• Orthogonality

Too Many Treatments

• Fractional Factorials and Orthogonal Arrays
• Optimal Design and Efficiency
• Augmenting and Customizing Designs

Software Addressed

This course addresses the following software product(s): SAS/STAT, SAS/QC, SAS/GRAPH, SAS IML. If your location does not have SAS/IML sotware, you can still benefit from this course.

This page was created using SAS software.