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Introduction to Quantitative Methods in Business : With Applications Using Microsoft Office Excel.

Ebook Central College Complete Available online

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Format:
Book
Author/Creator:
Kolluri, Bharat.
Contributor:
Panik, Michael J.
Singamsetti, Rao N.
Language:
English
Subjects (All):
Business mathematics.
Physical Description:
1 online resource (317 pages)
Edition:
1st ed.
Place of Publication:
Somerset : John Wiley & Sons, Incorporated, 2016.
Contents:
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 Functions
1.7.2 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 Factor
1.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 → F)
1.A.9.2 Changing Fraction to Decimals: (F → D)
1.A.9.3 Changing Decimals to Percents (D → P)
1.A.9.4 Changing Percents to Decimals (P → D).
1.A.9.5 Changing Fractions to Percents (F → P)
1.A.9.6 Changing Percents to Fractions (P → F)
1.A.10 Ratio and Proportion
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
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
3.4.1 Linear Programming: Maximization
3.4.1.1 Solution by Graphical Method: First Approach
3.4.1.2 Solution by Graphical Method: Second Approach
3.4.2 Linear Programming: Minimization
3.5 Excel Applications
Chapter 3 Review
Chapter 3 Exercises
Chapter 4: What Is Business Statistics?
4.1 Introduction
4.2 Data Description
4.2.1 Some Important Concepts in Statistics
4.2.2 Scales of Data Measurement
4.3 Descriptive Statistics: Tabular and Graphical Techniques
4.4 Descriptive Statistics: Numerical Measures of Central Tendency or Location of Data
4.4.1 Population Mean
4.4.2 Sample Mean.
4.4.3 Weighted Mean
4.4.4 Mean of a Frequency Distribution: Grouped Data
4.4.5 Geometric Mean
4.4.6 Median
Interpretation
4.4.7 Quantiles, Quartiles, Deciles, and Percentiles
4.4.8 Mode
4.5 Descriptive Statistics: Measures of Dispersion-Variability or Spread
4.5.1 Range
4.5.2 Variance
4.5.3 Standard Deviation
4.5.4 Coefficient of Variation
4.5.5 Some Important Uses of the Standard Deviation
4.5.6 Empirical Rule
4.6 Measuring Skewness
4.7 Excel Applications
Chapter 4 Review
Chapter 5: Probability and Applications
5.1 Introduction
5.2 Some Useful Definitions
5.3 Probability Sources
5.3.1 Objective Probability
5.3.2 Subjective Probability
5.4 Some Useful Definitions Involving Sets of Events in the Sample Space
5.4.1 Complement of a Given Set A
5.4.2 Mutually Exclusive Events
5.5 Probability Laws
5.5.1 General Rule of Addition
5.5.2 Rule of Complements
5.5.3 Conditional Probability
5.5.4 General Rule of Multiplication (Product Rule)
5.5.5 Independent Events
5.5.6 Probability Tree Approach
5.6 Contingency Table
5.7 Excel Applications
Chapter 5 Review
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
6.3.1 Some Basic Rules of Expectation
6.3.2 Some Useful Properties of Variance of X
6.3.3 Applications of Expected Values
6.4 Continuous Random Variables and Their Probability Distributions
6.5 A Specific Discrete Probability Distribution: the Binomial Case
6.5.1 Binomial Probability Distribution
6.5.2 Mean and Standard Deviation of the Binomial Random Variable.
6.5.3 Cumulative Binomial Probability Distribution
6.6 Excel Applications
Chapter 6 Review
Appendix 6.A
Table 6.A.1 Binomial Probabilities (X is b(X
n, p))
Table 6.A.2 Cumulative Distribution Function Values for the Binomial Distribution (X is b(X
Solutions to Odd-Numbered Exercises
Index
End User License Agreement.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Kolluri, Bharat Introduction to Quantitative Methods in Business
ISBN:
9781119220985
OCLC:
953661405

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