Statistical Treatment of Experimental Data

Statistical Treatment of Experimental Data PDF

Author: Hugh D. Young

Publisher:

Published: 1996-08

Total Pages: 196

ISBN-13:

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Even with a limited mathematics background, readers can understand what statistical methods are & how they may be used to obtain the best possible results from experimental measurements & data.

The Statistical Analysis of Experimental Data

The Statistical Analysis of Experimental Data PDF

Author: John Mandel

Publisher: Courier Corporation

Published: 2012-06-08

Total Pages: 432

ISBN-13: 048613959X

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First half of book presents fundamental mathematical definitions, concepts, and facts while remaining half deals with statistics primarily as an interpretive tool. Well-written text, numerous worked examples with step-by-step presentation. Includes 116 tables.

Statistical Treatment of Experimental Data

Statistical Treatment of Experimental Data PDF

Author: John Robert Green

Publisher: Elsevier Science & Technology

Published: 1978

Total Pages: 396

ISBN-13:

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Probability; Random variables and sampling distributions; Some important probability distributions; Estimation; Confidence intervals; Hypothesis testing; Tests on means; Tests on variance; Goodness of fit tests; Correlation; The straight line through the origin or through some other fixed point; The polynomial through the origin or through some other fixed pont; The general straight line; The general polynomial; A brief look at multiple regression.

Statistical Analysis of Designed Experiments

Statistical Analysis of Designed Experiments PDF

Author: Ajit C. Tamhane

Publisher: John Wiley & Sons

Published: 2012-09-12

Total Pages: 720

ISBN-13: 1118491432

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A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.

Statistical Methods for Experimental Research in Education and Psychology

Statistical Methods for Experimental Research in Education and Psychology PDF

Author: Jimmie Leppink

Publisher: Springer

Published: 2019-05-30

Total Pages: 301

ISBN-13: 3030212416

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This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used. The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre. Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.

Statistical Treatment of Analytical Data

Statistical Treatment of Analytical Data PDF

Author: Zeev B. Alfassi

Publisher: John Wiley & Sons

Published: 2009-02-12

Total Pages: 272

ISBN-13: 1405148144

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Statistical techniques have assumed an integral role in both the interpretation and quality assessment of analytical results. In this book the range of statistical methods available for such tasks are described in detail, with the advantages and disadvantages of each technique clarified by use of examples. With a focus on the essential practical application of these techniques the book also includes sufficient theory to facilitate understanding of the statistical principles involved. Statistical Treatment of Analytical Data is written for professional analytical chemists in industry, government and research institutions who require a practical understanding of the application of statistics in day to day activities in the analytical laboratory. It is also for students who require further and detailed information that may not be available directly in a typical undergraduate course.