Editorial Reviews
Product Description
Lind/14e is a perennial market best seller due to its comprehensive
coverage of statistical concepts and methods delivered in a student
friendly, step-by-step format. The text presents concepts clearly and
succinctly with a conversational writing style. All statistical concepts
are illustrated with solved applied examples immediately upon
introduction. Self reviews and exercises for each section, and review
sections for groups of chapters also support the student learning steps.
Modern computing applications (Excel, Minitab, and MegaStat for Excel)
are introduced, and the text maintains a focus on presenting statistics
concepts as applied to business. The fourteenth edition continues as a
'students' text with increased emphasis on interpretation of data and
results.
About the Author
Douglas A. Lind is now an adjunct professor at Coastal Carolina
University. He earned his Ph.D. and an MBA from The University of Toledo
and a Bachelor of Science in Business from Bowling Green State
University. Dr. Lind is the co-author with the late Robert D. Mason
and William G. Marchal of Statistical Techniques in Business and
Economics and Basic Statistics for Business and Economics published by
Irwin/McGraw-Hill and Statistics: An Introduction published by Duxbury.
In addition he has written Study Guides to be used with these texts.
Dr. Lind has more than 25 years of college teaching experience. This
includes teaching statistics at the introductory, intermediate, and
advanced undergraduate level, as well as graduate courses in statistics
and research methods. He is a past recipient of the Tony DeJute
Outstanding Teacher award. This award is given annually by the College
of Business to the outstanding teacher in the College. He is active
in both consulting and community service in Northwest Ohio. He has
consulted with such national firms as Ford Motor Company, Key Bank,
National City Bank, and the former Sheller Globe. Regional consulting
includes work with The Toledo Hospital, St. Vincent Mercy Medical
Center, and the Toledo Community Oncology Program. He has served the
community of Perrysburg, Ohio as a member of volunteer committees for
the city and the school system. This includes his most avid avocation,
coaching high school baseball, having served as a volunteer coach for
more than 12 years. His professional memberships include The American
Statistical Association, Decision Sciences, and The Textbook Author's
Association.
William G. Marchal is Professor of Information
Systems and Operations Management at The University of Toledo College of
Business Administration. He received his B.S. degree in Mathematics
from The University of Dayton, an M.A. in Mathematics from The Catholic
University of America, and his D. Sc. in Operations Research from The
George Washington University. Dr. Marchal has held visiting appointments
at The University of Michigan and George Mason University. He has also
worked at the Executive Office of the District of Columbia government,
the George Washington University Institute for Management Science, and
the U.S. Army Chemical Research & Development Center. Dr. Marchal
is co-author with the late Robert D. Mason and Douglas A. Lind of three
textbooks: Statistics: An Introduction; Statistical Techniques in
Business & Economics; and Basic Statistics for Business &
Economics. His research on stochastic models focuses on applications to
waiting line models. Dr. Marchal has made paper presentations at
meetings of professional societies, referred papers for journals and
served as an associate editor of Naval Research Logistics. Published
articles appear in the journals: Communications in Statistics, INFORMS,
Journal on Computing, IIE Transactions, Interfaces, Operations Research,
The Annals of Operations Research, AIIE Transactions and The Journal of
Applied Probability.
Samuel Wathen is a Professor in the E.
Craig Wall Sr. College of Business Administration at Coastal Carolina
University. He earned his Ph.D. in Business Administration from the
University of Minnesota, a M.B.A. from Oklahoma State University, a M.S.
in Forest Biometrics from Virginia Polytechnic Institute and State
University, and a B.S. in Forestry from the University of Illinois.
Dr. Wathen's research interests include applied statistics, teaching
methods, and manufacturing and service process design. He has published
articles in the International Journal of Operations and Production
Management, National Productivity Review, International Journal of
Service Industry Management, and the Journal of Workplace Learning:
Employee Counseling Today. Dr. Wathen has 14 years of teaching
experience. This includes introductory statistics, decision analysis,
operations management, materials management, and service operations
management. His experience spans both graduate and undergraduate
programs. He attended a Master Teaching seminar held at Georgia State
University that offered concepts and techniques to improve course
design, course delivery, exam construction, student involvement, and
many other aspects of teaching.