The
Cartoon Guide to Statistics
by Larry Gonick and Woollcott Smith
A humorous and easy-to-understand introduction to statistics.
The
Visual Display of Quantitative Information
by Edward R. Tufte
This is "must" reading for anyone creating or
interpreting graphs. Beautifully done.
Intuitive Biostatistics by Harvey Motulsky
An excellent and easy to understand introduction to biostatistics.
Multivariate Statistical Analysis: A Conceptual Introduction by Sam Katchigan
This highly-rated text takes a non-mathematical approach to understanding
multivariate statistics.
by W. J. Conover
Authoritative and clear coverage of the most popular nonparametric methods.
Statistics
You Can't Trust : A Friendly Guide to Clear Thinking About Statistics
in Everyday Life
by Stephen Kent et al.
Informative examples of statistics in everyday life.
Information
Graphics: A Comprehensive Illustrated Reference
This book is a catalog of ideas and a guide for selecting the best possible
way to display information in graphical format.
Biostatistical
Analysis (4th Edition)
by Jerrold H. Zar
An introductory textbook with examples from biological research.
Reading and Understanding Multivariate Statistics by Laurence Grimm and Paul Yarnold
Good conceptual coverage with many examples. Avoids mathematical derivations.
A comprehensive yet relative easy-to-understand treatment of nonparametric methods.
Statistics
for the Utterly Confused
by Lloyd Jaisingh
A good introduction to basic concepts in statistics.
by Gene Zelazny
Well-regarded guide for choosing charts and designing graphics displays.
Biostatistics: The Bare Essentials by Geffrey Norman et al.
The basics with a humorous touch.
by Jacob Cohen
The classic resource on power analysis. Filled with tables and examples.
Handbook
of Parametric and Nonparametric Statistical Procedures, Second Edition
by David J. Sheskin
As you might expect from a "handbook," this is a very comprehensive
treatment -- over 1,000 pages. Well written and accessible.
Forgotten
Statistics : A Self-Teaching Refresher Course
by Jeffrey Clark
An excellent resource for the professional who needs to brush up on statistics.
Visual
& Statistical Thinking: Displays of Evidence for Decision Making
by Edward R. Tufte
This is a chapter from an earlier Tufte book for only $7.
Applied Linear Statistical Models (Irwin Series in Statistics) by Michael H. Kutner et al.
Comprehensive introduction to linear models (1,400 pages) Includes many
real-world problems.
Statistical
Methods for Categorical Data Analysis by Daniel A. Powers et al.
Textbook for a graduate-level course in the social sciences. It includes
many examples.
Handbook
of Parametric and Nonparametric Statistical Procedures, Third Edition
by David Sheskin
This is an excellent practical, comprehensive, and understandable coverage of
statistics.
Design
and Analysis of Experiments by Douglas Montgomery
An introduction to the design and analysis of experiments with many example
applications in engineering.
by Alan Agresti
A non-technical introduction to categorical data analysis
by Sheldon M. Ross
An introductory text for engineering students.
Categorical
Data Analysis Using the SAS System
by Maura E. Stokes, Charles S. Davis, Gary G. Koch
Practically oriented book on using SAS for categorical data analysis.