Introduction to Quantitative Methods in Business
With Applications Using Microsoft Office Excel
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Introduction to Quantitative Methods in Business
With Applications Using Microsoft Office Excel
About This Book
A well-balanced and accessible introduction to the elementary quantitative methods and MicrosoftÂŽ Office ExcelÂŽ 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 MicrosoftÂŽ Office ExcelÂŽ 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 MicrosoftÂŽ Office Excel ÂŽ 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 MicrosoftÂŽ Office ExcelÂŽ 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.
Frequently asked questions
Information
Chapter 1
The Mathematical Toolbox
1.1 Introduction
Table of contents
- Cover
- Title Page
- Copyright
- Dedication
- Preface
- About the Companion Website
- Chapter 1: The Mathematical Toolbox
- Chapter 2: Applications of Linear and Nonlinear Functions
- Chapter 3: Optimization
- Chapter 4: What Is Business Statistics?
- Chapter 5: Probability and Applications
- Chapter 6: Random Variables and Probability Distributions
- Solutions to Odd-Numbered Exercises
- Index
- End User License Agreement