Many experiments in engineering, science and business involve several factors. This course is an introduction to these types of multifactor experiments. The appropriate experimental strategy for these situations is based on the factorial design, a type of experiment where factors are varied together. This course focuses on designing these types of experiments and on using the ANOVA for analyzing the resulting data.
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These types of experiments often include nuisance factors, and the blocking principle can be used in factorial designs to handle these situations. As the number of factors of interest grows full factorials become too expensive and fractional versions of the factorial design are useful. This course will cover the benefits of fractional factorials, along with methods for constructing and analyzing the data from these experiments.
What You Will Learn
- Conduct a factorial experiment in blocks and construct and analyze a fractional factorial design
- Apply the factorial concept to experiments with several factors
- Use the analysis of variance for factorial designs
- Use the 2^k system of factorial designs
Course 2 of 4 in the Design of Experiments Specialization.
Syllabus
WEEK 1: Introduction to Factorial Design
WEEK 2: The 2^k Factorial Design
WEEK 3: Blocking and Confounding in the 2^k Factorial Design
WEEK 4: Two-Level Fractional Factorial Designs
