Book description
Praise for the Second Edition
"All statistics students and teachers will find in this book a
friendly and intelligentguide to . . . applied statistics in practice."
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Journal of Applied Statistics
". . . a very engaging and valuable book for all who use
statistics in any setting."
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CHOICE
". . . a concise guide to the basics of statistics, replete with
examples . . . a valuablereference for more advanced statisticians as well."
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MAA Reviews
Now in its Third Edition, the highly readable Common Errors
in Statistics (and How to Avoid Them) continues to serve as a
thorough and straightforward discussion of basic statistical methods,
presentations, approaches, and modeling techniques. Further enriched
with new examples and counterexamples from the latest research as well
as added coverage of relevant topics, this new edition of the
benchmark book addresses popular mistakes often made in data
collection and provides an indispensable guide to accurate statistical
analysis and reporting. The authors' emphasis on careful practice,
combined with a focus on the development of solutions, reveals the
true value of statistics when applied correctly in any area of research.
The Third Edition has been considerably expanded and revised
to include:
- A new chapter on data quality assessment
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A new chapter on correlated data
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An expanded chapter on data analysis covering categorical and
ordinal data, continuous measurements, and time-to-event data,
including sections on factorial and crossover designs
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Revamped exercises with a stronger emphasis on solutions
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An extended chapter on report preparation
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New sections on factor analysis as well as Poisson and negative
binomial regression
Providing valuable, up-to-date information in the same user-friendly
format as its predecessor, Common Errors in Statistics (and How to
Avoid Them), Third Edition is an excellent book for students and
professionals in industry, government, medicine, and the social
sciences.
PHILLIP I. GOOD, PhD, is Operations Manager of
Statcourse. com, a consulting firm specializing in statistical
solutions for industry. He has published more than thirty scholarly
works, more than six hundred popular articles, and twenty-one books,
including Introduction to Statistics Through Resampling Methods and
R/S-PLUS and Introduction to Statistics Through Resampling Methods
and Microsoft Office Excel, both published by Wiley.
JAMES W. HARDIN, PhD, is Research Associate Professor and
Director of the Biostatistics Collaborative Unit at the University of
South Carolina.
