Abstract
This chapter presents methods for the first three steps in Exhibit 1-1: defining experiment goals, identifying and classifying variables, and building a statistical model of the system under study. These steps are critical to gaining the resources required for the experiment, and using the resources in an efficient way. Goal hierarchy plots can be used to elicit and present goals in a framework that can be understood by managers, technicians, and statistical workers. In this framework, the importance of statistical models becomes apparent. IDEFO diagrams and cause-effect diagrams can be used to identify the factors or variables in such models, and a priori main effect and interaction plots can be used to identify the particular terms involving these variables.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this chapter
Cite this chapter
Barton, R.R. (1999). Planning for a Designed Experiment. In: Graphical Methods for the Design of Experiments. Lecture Notes in Statistics, vol 143. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1398-7_2
Download citation
DOI: https://doi.org/10.1007/978-1-4612-1398-7_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94750-1
Online ISBN: 978-1-4612-1398-7
eBook Packages: Springer Book Archive