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Data Science for Business and Decision Making
book

Data Science for Business and Decision Making

by Luiz Paulo Favero, Patricia Belfiore
April 2019
Beginner to intermediate
1240 pages
45h 43m
English
Academic Press
Content preview from Data Science for Business and Decision Making
Chapter 21

Design and Analysis of Experiments

Abstract

This chapter discusses the concepts related to the design of experiments, as well as their application in the control of processes. In order for the technique to be applied correctly, the necessary steps are described here, as well as the basic principles that must be considered during the planning of experiments. The types of experimental design are also presented in this chapter, as well as the analysis of variance technique.

Keywords

Design of experiments; Factor; Treatment; Randomization; Analysis of variance; One-way ANOVA; Two-way ANOVA; Factorial ANOVA

Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write.

H.G. Wells

21.1 ...

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Publisher Resources

ISBN: 9780128112175