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LrnIT Education Division
Statistics: Know-How Made Easy: Factorial Design

Statistics: Know-How Made Easy: Factorial Design

by Philip N. Baldwin


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Statistics: Know-How Made Easy: Factorial Design

Statistics: Know-How Made Easy is not a traditional "statistics book". It's a practical, example-driven, user-friendly guide to data analysis, sampling, process development and quality control. It avoids unnecessary jargon. Instead, it provides useful information in clear, accessible language.

About the Author:

Phil N. Baldwin, Jr. has applied his practical statistical know-how in a wide range of environmental engineering projects including: Soil remediation for the Southern Pacific Railway in California, Groundwater remediation for the Department of Energy, Alumina 'Red Mud' studies for Tulane University and Kaiser Aluminum, Urethane foam development for Goodyear Tire, Mine tailings treatment for Falconbridge, Mercury treatment for Chinese Petroleum, chemical development for Chemfix, patent development, and dozens of other projects large and small. Phil has a B.S. degree in Chemistry/Mathematics from the University of Notre Dame, South Bend, IN.

Product Details

ISBN-13: 9780967227405
Publisher: LrnIT Education Division
Publication date: 12/28/1999
Series: Know-how Made Easy Series
Pages: 410
Product dimensions: 5.42(w) x 8.28(h) x 1.02(d)

What People are Saying About This

Kacia W. Baldwin

The material in Statistics: Know-How Made Easy makes the application of basic data analysis easy to understand and utilize. I will keep the book handy.
— (Kacia W. Baldwin, Supervisor, Analytical Chemistry, Stuart, Florida)

Bob Kliniewski

The 'cookbook' approach to factorial design makes the application of this practical problem solving technique simple and the analysis results easy to understand.
— (Bob Kliniewski, Senior Mechanical Engineer, Philadelphia, Pennsylvania)

George A. Koch

This book and the associated LrnITtm software provide valuable tools for the Quality Control practitioner. It provides sufficient background and more than enough practical examples of theory application to be useful in solving day to day quality control problems.
— (George A. Koch, Quality Assurance Manager, Haymarket, Virginia)

Robert S. Reimers

I don't teach statistics usually, but when I was introduced to this book I immediately included the sections dealing with regression and factorial analysis in my graduate environmental science and engineering classes.
— (Dr. Robert S. Reimers, Professor, Tulane University, New Orleans, Louisiana)


Statistics: Know How-Made Easy has been written for you. You are someone who can benefit from an understanding of how to use analysis of variance (ANOVA), Linear and Multi-Linear Correlationships, Regressional Analysis Techniques, Factorial Modeling (DOE/SED) and Mixture Analysis. This text has been written for the student or practitioner of any discipline who has a problem that can be reduced to numbers. Since this covers numerous types of problems, many people who are in school and in the workplace can benefit from an understanding of the statistical techniques presented in this text. I have found over my career of more than 30 years that few people appreciate the power and informational assistance provided by Experimental Design and Regression Analysis as well as basic statistical calculations such as standard deviation, standard error, sample size, confidence intervals, etc. These analysis methods are not magic, but they are helpful!

The master goal I have for this text is to succeed in encouraging your practical problem solving potential. As a final result of this process, I hope you will come to: (1) Understand the benefits of statistical analysis, (2) The ability to apply this understanding in your life regardless of whether your application is science, engineering, social sciences or financial analysis, and (3) A desire to study the subject further so you'll understand the fine point and exceptions of statistical analysis. Further, I hope that both students and experienced professionals will be aided by this book.

This text serves as a useful and practical introduction. It is not intended to be a complete discussion of any of the subject matter presented. If this text succeeds, you will keep it handy and come back to it often. Plus, you will also seek out other texts and software packages on the topics covered or noted in this text. Note: Post Script Chapter 2 covers reference discussions and money saving coupons on software as well as a free textbook coupon when any software is purchased.

After chapter one and the software introduction, this text will cover a variety of topics on general statistics and probability. This information will serve as a back drop for later chapters on regression and factorial and mixture analysis.

My final wish for you is that you enjoy this text and find it useful over and over again during your career!

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