Introduction to Quantitative Methods in Business With Applications Using Microsoft Office Excel 1st edition by Bharat Kolluri, Michael Panik, Rao Singamsetti – Ebook PDF Instant Download/Delivery: 1119220971, 978-1119220978
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ISBN 10: 1119220971
ISBN 13: 978-1119220978
Author: Bharat Kolluri, Michael Panik, Rao Singamsetti
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.
Introduction to Quantitative Methods in Business With Applications Using Microsoft Office Excel 1st Table of contents:
Chapter 1: The Mathematical Toolbox
1.1 Introduction
1.2 Linear Functions
1.3 Solving A Simple Linear Equation for One Unknown Variable
1.4 Summation Notation
1.5 Sets
1.6 Functions and Graphs
1.7 Working with Functions
1.8 Differentiation and Integration
1.9 Excel Applications
Chapter 1 Review
Exercises
Excel Applications
Appendix 1.A: A Review of Basic Mathematics
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 Applications
Chapter 2 Review
Exercises
Excel Applications
Chapter 3: Optimization
3.1 Introduction
3.2 Unconstrained Optimization
3.3 Models of Cost Minimization: Inventory Cost Functions and EOQ
3.4 Constrained Optimization: Linear Programming
3.5 Excel Applications
Chapter 3 Review
Chapter 3 Exercises
Excel Applications
Chapter 4: What Is Business Statistics?
4.1 Introduction
4.2 Data Description
4.3 Descriptive Statistics: Tabular and Graphical Techniques
4.4 Descriptive Statistics: Numerical Measures of Central Tendency or Location of Data
4.5 Descriptive Statistics: Measures of Dispersion—Variability or Spread
4.6 Measuring Skewness
4.7 Excel Applications
Chapter 4 Review
Exercises
Excel Applications
Chapter 5: Probability and Applications
5.1 Introduction
5.2 Some Useful Definitions
5.3 Probability Sources
5.4 Some Useful Definitions Involving Sets of Events in the Sample Space
5.5 Probability Laws
5.6 Contingency Table
5.7 Excel Applications
Chapter 5 Review
Exercises
Excel Applications
Chapter 6: Random Variables and Probability Distributions
6.1 Introduction
6.2 Probability Distribution of A Discrete Random Variable X
6.3 Expected Value, Variance, and Standard Deviation of A Discrete Random Variable X
6.4 Continuous Random Variables and Their Probability Distributions
6.5 A Specific Discrete Probability Distribution: The Binomial Case
6.6 Excel Applications
Chapter 6 Review
Exercises
Appendix 6.A
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Tags: Bharat Kolluri, Michael Panik, Rao Singamsetti, Quantitative Methods, Applications Using


