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 well-balanced 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 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® Office Excel® 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® Office Excel® 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."
- 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 Odd-Numbered 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 well-balanced 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 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® Office Excel® 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® Office Excel® 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."
- 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 Odd-Numbered 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 Odd-Numbered 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
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Introduction-to-quantitative-methods-in-business/osR_lLASZ7w/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Introduction-to-quantitative-methods-in-business/osR_lLASZ7w/">Introduction to quantitative methods in business : with applications using Microsoft Office Excel</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Introduction to quantitative methods in business : with applications using Microsoft Office Excel
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Introduction-to-quantitative-methods-in-business/osR_lLASZ7w/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Introduction-to-quantitative-methods-in-business/osR_lLASZ7w/">Introduction to quantitative methods in business : with applications using Microsoft Office Excel</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>