A well-balanced and accessible introduction to the elementary
quantitative methods and Microsoft(R) Office Excel(R) applications
used to guide business decision making Featuring quantitative
techniques essential for modeling modern business situations,
Introduction to Quantitative Methods in Business: With Applications
Using Microsoft(R) Office Excel(R) provides guidance to assessing
real-world data sets using Excel. The book presents a balanced
approach to the mathematical tools and techniques with applications
used in the areas of business, finance, economics, marketing, and
operations. The authors begin by establishing a solid foundation of
basic mathematics and statistics before moving on to more advanced
concepts. The first part of the book starts by developing basic
quantitative techniques such as arithmetic operations, functions
and graphs, and elementary differentiations (rates of change), and
integration. After a review of these techniques, the second part
details both linear and nonlinear models of business activity.
Extensively classroom-tested, Introduction to Quantitative Methods
in Business: With Applications Using Microsoft(R) Office Excel(R)
also includes: * Numerous examples and practice problems that
emphasize real-world business quantitative techniques and
applications * Excel-based computer software routines that explore
calculations for an assortment of tasks, including graphing,
formula usage, solving equations, and data analysis *
End-of-chapter sections detailing the Excel applications and
techniques used to address data and solutions using large data sets
* A companion website that includes chapter summaries, Excel data
sets, sample exams and quizzes, lecture slides, and an Instructors
Solutions Manual Introduction to Quantitative Methods in Business:
With Applications Using Microsoft(R) Office Excel(R) is an
excellent textbook for undergraduate-level courses on quantitative
methods in business, economics, finance, marketing, operations, and
statistics. The book is also an ideal reference for readers with
little or no quantitative background who require a better
understanding of basic mathematical and statistical concepts used
in economics and business. Bharat Kolluri, Ph.D., is Professor of
Economics in the Department of Economics, Finance, and Insurance at
the University of Hartford. A member of the American Economics
Association, his research interests include econometrics, business
statistics, quantitative decision making, applied macroeconomics,
applied microeconomics, and corporate finance. Michael J. Panik,
Ph.D., is Professor Emeritus in the Department of Economics,
Finance, and Insurance at the University of Hartford. He has served
as a consultant to the Connecticut Department of Motor Vehicles as
well as to a variety of health care organizations. In addition, Dr.
Panik is the author of numerous books, including Growth Curve
Modeling: Theory and Applications and Statistical Inference: A
Short Course, both published by Wiley. Rao N. Singamsetti, Ph.D.,
is Associate Professor in the Department of Economics, Finance, and
Insurance at the University of Hartford. A member of the American
Economics Association, his research interests include the status of
war on poverty in the United States since the 1960s and forecasting
foreign exchange rates using econometric methods.
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