A visually intuitive approach to statistical data analysis
Visual Statistics brings the most complex and advanced statistical
methods within reach of those with little statistical training by
using animated graphics of the data. Using Vi Sta: The Visual
Statistics System-developed by Forrest Young and Pedro Valero-Mora
and available free of charge on the Internet-students can easily
create fully interactive visualizations from relevant mathematical
statistics, promoting perceptual and cognitive understanding of the
data’s story. An emphasis is placed on a paradigm for understanding
data that is visual, intuitive, geometric, and active, rather than
one that relies on convoluted logic, heavy mathematics, systems of
algebraic equations, or passive acceptance of results.
A companion Web site complements the book by further demonstrating
the concept of creating interactive and dynamic graphics. The book
provides users with the opportunity to view the graphics in a
dynamic way by illustrating how to analyze statistical data and
explore the concepts of visual statistics.
Visual Statistics addresses and features the following
topics:
* Why use dynamic graphics?
* A history of statistical graphics
* Visual statistics and the graphical user interface
* Visual statistics and the scientific method
* Character-based statistical interface objects
* Graphics-based statistical interfaces
* Visualization for exploring univariate data
This is an excellent textbook for undergraduate courses in data
analysis and regression, for students majoring or minoring in
statistics, mathematics, science, engineering, and computer
science, as well as for graduate-level courses in mathematics. The
book is also ideal as a reference/self-study guide for engineers,
scientists, and mathematicians.
With contributions by highly regarded professionals in the field,
Visual Statistics not only improves a student’s understanding of
statistics, but also builds confidence to overcome problems that
may have previously been intimidating.
Table des matières
PART I: INTRODUCTION.
Chapter 1. Introduction.
Chapter 2. Examples.
PART II: SEE DATA-THE PROCESS.
Chapter 3. Interfaces and Environments.
Chapter 4. Tools and Techniques.
PART III: SEEING DATA.
Chapter 5. Seeing Frequency Data.
Chapter 6. Seeing Univariate Data.
Chapter 7. Seeing Bivariate Data.
Chapter 8. Seeing Multivariate Data.
Chapter 9. Seeing Magnitude Data that have Missing Values
PART IV: THEORETICAL FOUNDATIONS
Chapter 10. Theoretical Foundations.
References.
Author Index.
Subject Index.
A propos de l’auteur
The late FORREST W. YOUNG, Ph D, was Professor Emeritus of
Quantitative Psychology at The University of North Carolina at
Chapel Hill. As a result of a ten-year research project, Dr. Young
and his students created Vi Sta: The Visual Statistics System. He
acted as a professional consultant for the SAS Institute, Inc.,
Statistical Sciences, Inc., and Bell Telephone Laboratories. He
authored three books and numerous journal articles. He received his
Ph D in psychometrics from the University of Southern California,
Los Angeles.
PEDRO M. VALERO-MORA, Ph D, is Professor of Data
Processing at the University of Valencia in Spain. He is the author
of several research papers. He received his Ph D in methodology in
the behavioral sciences from the University of Valencia in
Spain.
MICHAEL FRIENDLY, Ph D, is Professor in the Department of
Psychology at York University in Toronto, Ontario, Canada. He
received his Ph D in psychometrics and cognitive psychology from
Princeton University. He is the author of two books and numerous
research papers.
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