Fundamentals of statistical experimental design and analysis / Robert G. Easterling, Cedar Crest, New Mexico, USA.

Format:

Book

Author/Creator:

Easterling, Robert G., author.

Language:

English

Subjects (All):

Experimental design.

Mathematical statistics--Anecdotes.

Mathematical statistics.

Mathematical statistics--Study and teaching.

Physical Description:

1 online resource (289 pages) : color illustrations

Edition:

1st ed.

Place of Publication:

Chichester, West Sussex : John Wiley and Sons, Incorporated, 2015.

Summary:

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.

Contents:

Intro

Title Page

Table of Contents

Preface

References

Statistical Software

Sources for Student Exercises (in addition to the above references)

Acknowledgments

Credits

1 Introduction

Motivation: Why Experiment?

Steps in an Experimental Program

Subject-Matter Passion

Case Study

Overview of Text

Assignment

2 Fundamentals of Experimental Design

Introduction

Experimental Structure

Principles of Experimental Design

3 Fundamentals of Statistical Data Analysis

Boys' Shoes Experiment

Tomato Fertilizer Experiment

A New Tomato Experiment

Comparing Standard Deviations

Discussion

Appendix 3.A The Binomial Distribution

Appendix 3.B Sampling from a Normal Distribution

Appendix 3.C Statistical Underpinnings

4 Completely Randomized Design

Design Issues

CRD: Single Qualitative Factor

Analysis of Variance

Testing the Assumptions of Equal Variances and Normality

Confidence Intervals

Inference

Statistical Prediction Interval

Example: Tomato Fertilizer Experiment Revisited

Sizing a Completely Randomized Experiment

CRD: Single Quantitative Factor

Enhanced Case Study: Power Window Gear Teeth

5 Completely Randomized Design with Multiple Treatment Factors

Response Surface Designs

Special Case: Two-Level Factorial Experiments

Fractional Two-Level Factorials

Extensions

6 Randomized Complete Block Design

RBD with Single Replication

Sizing a Randomized Block Experiment

True Replication

Extensions of the RBD

Balanced Incomplete Block Designs

Summary

Assignment.

References

7 Other Experimental Designs

Latin Square Design

Split-Unit Designs

Repeated Measures Designs

Robust Designs

Optimal Designs

Index

End User License Agreement.

Notes:

Date of publication from resource description page (Safari, viewed November 4, 2015).

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-118-95464-5

1-118-95465-3

OCLC:

908107443