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Fundamentals of statistical experimental design and analysis
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SIMILAR ITEMS (based on metadata)
- General & Introductory Statistics
- Applied Probability & Statistics
- Experimental Design
Fundamentals of Statistical Experimental Design and Analysis
ISBN: 978-1-118-95463-8
September 2015
Digital Evaluation Copy
Robert G. Easterling
Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the experiment and the what-do-we-do-next? steps after the experiment. Graphical data displays are emphasized as means of discovery and communication and formulas are minimized, with a focus on interpreting the results that software produce. The role of subject-matter knowledge, and passion, is also illustrated. The examples do not require specialized knowledge, and the lessons they contain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs:
- Completely Randomized designs, with single or multiple treatment factors, quantitative or qualitative
- Randomized Block designs
- Latin Square designs
- Split-Unit designs
- Repeated Measures designs
- Robust designs
- Optimal designs
Fundamentals of Statistical Experimental Design and Analysis by Robert G. Easterling
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3 Fundamentals of Statistical Data Analysis
Introduction.
Once an experiment has been conducted and the data collected, the next task is to extract and communicate the information contained in the data (as depicted in the cloud cartoon; Fig. 1.1). The structure of an experiment dictates, to a large extent, the nature of the statistical data analysis to be carried out. (Indeed, careful planning of an experiment includes the anticipated analyses and even anticipated results.) In the remaining chapters in this book, detailed statistical data analyses will be discussed and illustrated in conjunction with the different experimental designs addressed. Some general principles and basic analyses, though, are set forth in this chapter and illustrated with simple two-treatment experiments. Two types of intertwined analysis are discussed—graphical and quantitative. My general approach is as follows:
Analysis 1 . Plot the data! An analysis will often cycle between plots and calculations related to the plots as the message in the data is extracted and communicated.
Analysis 2 . Do appropriate number crunching to characterize patterns seen in data plots, to separate and measure what is real from what could just be random variation, and to point the way to further data displays and analyses.
The two experiments addressed in some detail in this chapter are from the classic experimental design ...
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Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses.
Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs:
Fundamentals of statistical experimental design and analysis. by. Easterling, Robert G., author. Publication date. 2015. Topics. Mathematical statistics -- Study and teaching, Mathematical statistics -- Anecdotes, Experimental design. Publisher. Chichester, West Sussex : John Wiley and Sons, Inc. Collection. internetarchivebooks; printdisabled.
Many excellent statistical texts on experimental design and analysis have been written by statisticians, primarily for students in statistics. These texts are generally more technical and more comprehensive than is appropriate for a mixed-discipline undergraduate audience and a one-semester course, the audience and scope this text addresses.
This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the ...
In the remaining chapters in this book, detailed statistical data analyses will be discussed and illustrated in conjunction with the different experimental designs addressed. Some general principles and basic analyses, though, are set forth in this chapter and illustrated with simple two-treatment experiments.