Fundamentals of Statistical Experimental Design and Analysis (ePub)

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.