Date of Award
Fall 2018
Degree Type
Thesis
Department
Statistics
Director of Thesis
Edsel Pena
First Reader
John Grego
Second Reader
John Grego
Abstract
There are many statistical techniques used to design experiments. These techniques are used in many different fields. This thesis will focus on the use of the three most common techniques used to design statistical experiments in manufacturing.
The three techniques that will be investigated are completely randomized design, randomized block design, and factorial design. These techniques will be compared, contrasted, and explained. Research examples will be presented along with sample R code for each technique. These examples will be accompanied by analysis of the techniques as well as an overview of the uses and history of experiments in manufacturing
First Page
1
Last Page
21
Recommended Citation
Kerfonta, Caroline M., "Statistical Design Of Experiment Techniques in Manufacturing" (2018). Senior Theses. 263.
https://scholarcommons.sc.edu/senior_theses/263
Rights
© 2018, Caroline M Kerfonta