The Resource Introduction to quantitative methods in business : with applications using Microsoft Office Excel
Introduction to quantitative methods in business : with applications using Microsoft Office Excel
Resource Information
The item Introduction to quantitative methods in business : with applications using Microsoft Office Excel represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Introduction to quantitative methods in business : with applications using Microsoft Office Excel represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
 Summary
 "A wellbalanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® 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® Office Excel® provides guidance to assessing realworld 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 classroomtested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® also includes: Numerous examples and practice problems that emphasize realworld business quantitative techniques and applications Excelbased computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis Endofchapter 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® Office Excel® is an excellent textbook for undergraduatelevel 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."
 Language
 eng
 Extent
 1 online resource (317 pages)
 Note

 "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."
 3.4.1 Linear Programming: Maximization
 Contents

 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 OddNumbered Exercises
 Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel®; Table of Contents; Preface; About the Companion Website; Chapter 1: The Mathematical Toolbox; 1.1 Introduction; 1.2 Linear Functions; 1.3 Solving a Simple Linear Equation for One Unknown Variable; 1.3.1 Solving Two Simultaneous Linear Equations for Two Unknown Variables; 1.4 Summation Notation; 1.5 Sets; 1.5.1 Subset, Empty Set, Universal Set, and Complement of A Set; 1.5.2 Intersection and Union; 1.6 Functions and Graphs; 1.6.1 Vertical Line Test; 1.7 Working With Functions
 1.7.1 Evaluating Functions1.7.2 Graphing Functions; 1.8 Differentiation and Integration; 1.8.1 Derivative; Some Rules of Differentiation; 1.8.2 Derivatives of Logarithmic and Exponential Functions; 1.8.3 Higher Order Derivatives; 1.8.4 Integration; 1.8.5 The Definite Integral; 1.8.6 Some Rules of Integration; 1.9 Excel Applications; Chapter 1 Review; Exercises; Excel Applications; Appendix 1.A: A Review of Basic Mathematics; 1.A.1 Order of Arithmetic Operations; 1.A.2 Exponents; 1.A.3 Logarithms; 1.A.4 Prime Factorization; 1.A.5 Factoring; 1.A.6 Fractions: Ratios
 1.A.6.1 Greatest Common Factor1.A.6.2 Least Common Multiple; 1.A.6.3 Addition and Subtraction of Fractions; 1.A.6.4 Multiplication and Division of Fractions; 1.A.6.5 Mixed Fractions; 1.A.7 Decimals; 1.A.7.1 Operations with Decimals; 1.A.8 Percent; 1.A.8.1 Finding Percent (%) of a Number; 1.A.8.2 Finding Percentage Increase (+) or Percentage Decrease (  ); 1.A.9 Conversions between Decimals (D), Fractions (F), and Percents (P); 1.A.9.1 Changing Decimals to Fractions (D 2!F); 1.A.9.2 Changing Fraction to Decimals: (F 2!D); 1.A.9.3 Changing Decimals to Percents (D 2!P)
 1.A.9.4 Changing Percents to Decimals (P 2!D)1.A.9.5 Changing Fractions to Percents (F 2!P); 1.A.9.6 Changing Percents to Fractions (P 2!F); 1.A.10 Ratio and Proportion; Exercises; Chapter 2: Applications of Linear and Nonlinear Functions; 2.1 Introduction; 2.2 Linear Demand and Supply Functions; 2.3 Linear Total Cost and Total Revenue Functions; 2.4 Market Equilibrium; 2.5 Graphical Presentation of Equilibrium; 2.6 Applications of Nonlinear Functions; 2.7 Present Value of an Income Stream; 2.8 Average Values; 2.9 Marginal Values; 2.10 Elasticity; 2.11 Some Additional Business Applications
 2.12 Excel ApplicationsChapter 2 Review; Exercises; Excel Applications; Chapter 3: Optimization; 3.1 Introduction; 3.2 Unconstrained Optimization; 3.2.1 Models of Profit and Revenue Maximization; 3.2.2 Solution by Trial and Error (Approximate) Method; 3.2.3 Solution Using the Calculus Approach; 3.2.4 Solution by Trial and Error (Approximate) Method; 3.2.5 Solution Using the Calculus Approach; 3.3 Models of Cost Minimization: Inventory Cost Functions and EOQ; 3.3.1 Solution by Trial and Error Method; 3.3.2 Solution Using the Calculus Approach; 3.4 Constrained Optimization: Linear Programming
 Isbn
 9781119220985
 Label
 Introduction to quantitative methods in business : with applications using Microsoft Office Excel
 Title
 Introduction to quantitative methods in business
 Title remainder
 with applications using Microsoft Office Excel
 Language
 eng
 Summary
 "A wellbalanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® 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® Office Excel® provides guidance to assessing realworld 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 classroomtested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® also includes: Numerous examples and practice problems that emphasize realworld business quantitative techniques and applications Excelbased computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis Endofchapter 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® Office Excel® is an excellent textbook for undergraduatelevel 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."
 Cataloging source
 EBLCP
 http://library.link/vocab/creatorName
 Kolluri, Bharat
 Dewey number
 650.0285/54
 Index
 no index present
 LC call number

 HF5691
 HF5691
 LC item number

 .K655 2017
 .K71235 2017eb
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName

 Panik, Michael J
 Singamsetti, Rao N
 http://library.link/vocab/subjectName

 Business mathematics
 Management
 Business mathematics
 Management
 Label
 Introduction to quantitative methods in business : with applications using Microsoft Office Excel
 Note

 "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."
 3.4.1 Linear Programming: Maximization
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 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 OddNumbered Exercises
 Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel®; Table of Contents; Preface; About the Companion Website; Chapter 1: The Mathematical Toolbox; 1.1 Introduction; 1.2 Linear Functions; 1.3 Solving a Simple Linear Equation for One Unknown Variable; 1.3.1 Solving Two Simultaneous Linear Equations for Two Unknown Variables; 1.4 Summation Notation; 1.5 Sets; 1.5.1 Subset, Empty Set, Universal Set, and Complement of A Set; 1.5.2 Intersection and Union; 1.6 Functions and Graphs; 1.6.1 Vertical Line Test; 1.7 Working With Functions
 1.7.1 Evaluating Functions1.7.2 Graphing Functions; 1.8 Differentiation and Integration; 1.8.1 Derivative; Some Rules of Differentiation; 1.8.2 Derivatives of Logarithmic and Exponential Functions; 1.8.3 Higher Order Derivatives; 1.8.4 Integration; 1.8.5 The Definite Integral; 1.8.6 Some Rules of Integration; 1.9 Excel Applications; Chapter 1 Review; Exercises; Excel Applications; Appendix 1.A: A Review of Basic Mathematics; 1.A.1 Order of Arithmetic Operations; 1.A.2 Exponents; 1.A.3 Logarithms; 1.A.4 Prime Factorization; 1.A.5 Factoring; 1.A.6 Fractions: Ratios
 1.A.6.1 Greatest Common Factor1.A.6.2 Least Common Multiple; 1.A.6.3 Addition and Subtraction of Fractions; 1.A.6.4 Multiplication and Division of Fractions; 1.A.6.5 Mixed Fractions; 1.A.7 Decimals; 1.A.7.1 Operations with Decimals; 1.A.8 Percent; 1.A.8.1 Finding Percent (%) of a Number; 1.A.8.2 Finding Percentage Increase (+) or Percentage Decrease (  ); 1.A.9 Conversions between Decimals (D), Fractions (F), and Percents (P); 1.A.9.1 Changing Decimals to Fractions (D 2!F); 1.A.9.2 Changing Fraction to Decimals: (F 2!D); 1.A.9.3 Changing Decimals to Percents (D 2!P)
 1.A.9.4 Changing Percents to Decimals (P 2!D)1.A.9.5 Changing Fractions to Percents (F 2!P); 1.A.9.6 Changing Percents to Fractions (P 2!F); 1.A.10 Ratio and Proportion; Exercises; Chapter 2: Applications of Linear and Nonlinear Functions; 2.1 Introduction; 2.2 Linear Demand and Supply Functions; 2.3 Linear Total Cost and Total Revenue Functions; 2.4 Market Equilibrium; 2.5 Graphical Presentation of Equilibrium; 2.6 Applications of Nonlinear Functions; 2.7 Present Value of an Income Stream; 2.8 Average Values; 2.9 Marginal Values; 2.10 Elasticity; 2.11 Some Additional Business Applications
 2.12 Excel ApplicationsChapter 2 Review; Exercises; Excel Applications; Chapter 3: Optimization; 3.1 Introduction; 3.2 Unconstrained Optimization; 3.2.1 Models of Profit and Revenue Maximization; 3.2.2 Solution by Trial and Error (Approximate) Method; 3.2.3 Solution Using the Calculus Approach; 3.2.4 Solution by Trial and Error (Approximate) Method; 3.2.5 Solution Using the Calculus Approach; 3.3 Models of Cost Minimization: Inventory Cost Functions and EOQ; 3.3.1 Solution by Trial and Error Method; 3.3.2 Solution Using the Calculus Approach; 3.4 Constrained Optimization: Linear Programming
 Control code
 953661405
 Dimensions
 unknown
 Extent
 1 online resource (317 pages)
 Form of item
 online
 Isbn
 9781119220985
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Specific material designation
 remote
 System control number
 (OCoLC)953661405
 Label
 Introduction to quantitative methods in business : with applications using Microsoft Office Excel
 Note

 "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."
 3.4.1 Linear Programming: Maximization
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 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 OddNumbered Exercises
 Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel®; Table of Contents; Preface; About the Companion Website; Chapter 1: The Mathematical Toolbox; 1.1 Introduction; 1.2 Linear Functions; 1.3 Solving a Simple Linear Equation for One Unknown Variable; 1.3.1 Solving Two Simultaneous Linear Equations for Two Unknown Variables; 1.4 Summation Notation; 1.5 Sets; 1.5.1 Subset, Empty Set, Universal Set, and Complement of A Set; 1.5.2 Intersection and Union; 1.6 Functions and Graphs; 1.6.1 Vertical Line Test; 1.7 Working With Functions
 1.7.1 Evaluating Functions1.7.2 Graphing Functions; 1.8 Differentiation and Integration; 1.8.1 Derivative; Some Rules of Differentiation; 1.8.2 Derivatives of Logarithmic and Exponential Functions; 1.8.3 Higher Order Derivatives; 1.8.4 Integration; 1.8.5 The Definite Integral; 1.8.6 Some Rules of Integration; 1.9 Excel Applications; Chapter 1 Review; Exercises; Excel Applications; Appendix 1.A: A Review of Basic Mathematics; 1.A.1 Order of Arithmetic Operations; 1.A.2 Exponents; 1.A.3 Logarithms; 1.A.4 Prime Factorization; 1.A.5 Factoring; 1.A.6 Fractions: Ratios
 1.A.6.1 Greatest Common Factor1.A.6.2 Least Common Multiple; 1.A.6.3 Addition and Subtraction of Fractions; 1.A.6.4 Multiplication and Division of Fractions; 1.A.6.5 Mixed Fractions; 1.A.7 Decimals; 1.A.7.1 Operations with Decimals; 1.A.8 Percent; 1.A.8.1 Finding Percent (%) of a Number; 1.A.8.2 Finding Percentage Increase (+) or Percentage Decrease (  ); 1.A.9 Conversions between Decimals (D), Fractions (F), and Percents (P); 1.A.9.1 Changing Decimals to Fractions (D 2!F); 1.A.9.2 Changing Fraction to Decimals: (F 2!D); 1.A.9.3 Changing Decimals to Percents (D 2!P)
 1.A.9.4 Changing Percents to Decimals (P 2!D)1.A.9.5 Changing Fractions to Percents (F 2!P); 1.A.9.6 Changing Percents to Fractions (P 2!F); 1.A.10 Ratio and Proportion; Exercises; Chapter 2: Applications of Linear and Nonlinear Functions; 2.1 Introduction; 2.2 Linear Demand and Supply Functions; 2.3 Linear Total Cost and Total Revenue Functions; 2.4 Market Equilibrium; 2.5 Graphical Presentation of Equilibrium; 2.6 Applications of Nonlinear Functions; 2.7 Present Value of an Income Stream; 2.8 Average Values; 2.9 Marginal Values; 2.10 Elasticity; 2.11 Some Additional Business Applications
 2.12 Excel ApplicationsChapter 2 Review; Exercises; Excel Applications; Chapter 3: Optimization; 3.1 Introduction; 3.2 Unconstrained Optimization; 3.2.1 Models of Profit and Revenue Maximization; 3.2.2 Solution by Trial and Error (Approximate) Method; 3.2.3 Solution Using the Calculus Approach; 3.2.4 Solution by Trial and Error (Approximate) Method; 3.2.5 Solution Using the Calculus Approach; 3.3 Models of Cost Minimization: Inventory Cost Functions and EOQ; 3.3.1 Solution by Trial and Error Method; 3.3.2 Solution Using the Calculus Approach; 3.4 Constrained Optimization: Linear Programming
 Control code
 953661405
 Dimensions
 unknown
 Extent
 1 online resource (317 pages)
 Form of item
 online
 Isbn
 9781119220985
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Specific material designation
 remote
 System control number
 (OCoLC)953661405
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