Fundamentals of Statistical Experimental Design and Analysis

Fundamentals of Statistical Experimental Design and Analysis
Author :
Publisher : John Wiley & Sons
Total Pages : 268
Release :
ISBN-10 : 9781118954638
ISBN-13 : 1118954637
Rating : 4/5 (637 Downloads)

Book Synopsis Fundamentals of Statistical Experimental Design and Analysis by : Robert G. Easterling

Download or read book Fundamentals of Statistical Experimental Design and Analysis written by Robert G. Easterling and published by John Wiley & Sons. This book was released on 2015-09-08 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Written in an accessible, student-friendly style, this book is suitable for a general audience and particularly for those professionals seeking to improve and apply their understanding of experimental design.


Fundamentals of Statistical Experimental Design and Analysis Related Books

Fundamentals of Statistical Experimental Design and Analysis
Language: en
Pages: 268
Authors: Robert G. Easterling
Categories: Mathematics
Type: BOOK - Published: 2015-09-08 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical exp
Understanding Statistics and Experimental Design
Language: en
Pages: 146
Authors: Michael H. Herzog
Categories: Science
Type: BOOK - Published: 2019-08-13 - Publisher: Springer

DOWNLOAD EBOOK

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I
Research Design & Statistical Analysis
Language: en
Pages: 871
Authors: Arnold D. Well
Categories: Mathematics
Type: BOOK - Published: 2003-01-30 - Publisher: Psychology Press

DOWNLOAD EBOOK

"Free CD contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats"--Cover
Quasi-Experimentation
Language: en
Pages: 382
Authors: Charles S. Reichardt
Categories: Business & Economics
Type: BOOK - Published: 2019-09-02 - Publisher: Guilford Publications

DOWNLOAD EBOOK

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of t
Fundamentals of Statistical Experimental Design and Analysis
Language: en
Pages: 268
Authors: Robert G. Easterling
Categories: Mathematics
Type: BOOK - Published: 2015-08-03 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical exp