Experimental Design

Preface

Although there is a moderate amount of data analysis, especially in certain chapters, the emphasis in this book is on the statistical design of experiments.Such emphasis is justified by the widely held view that data from a well-designed experiment are easy to analyze.Certaintypesofdesignsarenotsimple, however,such as those covered in Chapters 7, 8, and 11, and the problem is compounded by the fact that some popular statistical software packages have quite limited capability for those designs.

Modern Experimental Design

Preface The book would be suitable for an undergraduate one-semester course in design of experiments. For a course taught to nonstatistics majors, an instructor may wish to cover Chapters 1–4, part of Chapter 5, and then pick and choose from the other chapters in accordance with the needs of the students. The selection might include eitherorbothofChapters10and12andthencoversectionsofinterestinChapter13. For statistics majors, the book would be suitable for use in an advanced undergraduatecourse,perhapscoveringChapters1–5,7,8,andmuchofChapter13.There is also enough advanced material for the book to be useful as a reference book in a graduatecoursetaughttostatisticsmajors,andmightalsobeusedinagraduatecourse for nonstatistics majors, depending on the needs and backgrounds of the students. There is also enough material for a two-semester course, with the first course perhaps covering Chapters 1–6 and the second course covering Chapters 7–12 and 14, and parts of Chapter 13.

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Preface

It is worth noting that this book does not contain catalogs of designs, as are given in some other books on the subject. Rather, the emphasis is on understanding design concepts and properties, the software that is available for generating specific designs and when to use those designs, and as stated, a moderate amount of analysis of data from experiments in which the designs are used, with extensive analysis provided in some case studies. Although there is some hand computation, the emphasis is on using appropriate software to generate output and interpret the output.

It is also worth noting that whereas there are case studies and a moderate amount of data analyses, there is not a “full” analysis of any dataset as that would include checking for outliers and influential observations, testing assumptions, and so on, which are covered in books on statistical methods. This is important but comes under the heading of data analysis rather than design and analysis of experiments. Although this book has more analysis than most books on the design of experiments, it is not intended to be a handbook on data analysis.

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About the Author:

Ed Neil O. Maratas an instructor of Jose Rizal Memorial State University, Dapitan Campus, Philippines as regular status. He earned his Bachelor of Science in Statistics at Mindanao State University-Tawi-Tawi College of Technology and Oceanography in the year 2003 and finished Master of Arts in Mathematics at Jose Rizal Memorial State University year 2009. He Became a researcher, a data analyst, and engaged to several projects linked to the university as data processor.

Prepared by:ednielmaratas@gmail.com or you can visit the facebook pageStatisticss For Funfor more details about statistics.

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