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9780471315032

The Fast Forward MBA in Business Math

by Peter Garrity
  • ISBN13:

    9780471315032

  • ISBN10:

    0471315036

  • Format: Paperback
  • Copyright: 1999-12-01
  • Publisher: Wiley
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Summary

The Fast Forward MBA in Business Math brings you the information you need when you need it most-now! This practical, easy-to-use guide gives you instant access to such crucial business math concepts as algebra, time value of money, and statistics. In short, lively segments using real-world examples, Professor Peter Garrity of Columbia Business School delivers the facts you need to master everyday business math problems-whether in product development, forecasting budgets, or even starting a business. You'll find brief descriptions of key business math concepts, tips on real-world applications, compact case studies, and technology shortcuts. Here are all the tools you need to manage even the most intricate business math problems. You'll discover: * How to master the basic quantitative skills that are part of any business environment, such as future and present value, internal rate of return, and net present value * Tips for using the latest software and technology tools to solve business math problems * How to use statistics for decision making, such as descriptive statistical analysis and regression * And much more From the creators of the bestselling Portable MBA series comes The Fast Forward MBA . . . * A quick way to brush up on new ideas * An easy-to-use format that fits in any briefcase * Real-world information that you can put to use now!

Author Biography

PETER GARRITY, PhD, is a professor at Columbia University Business School and teaches in the MBA and Executive MBA programs. He has developed and implemented applied mathematics instruction to J.P. Morgan, PaineWebber, Chase Manhattan Bank, and others.

Table of Contents

PART 1---MAKING DECISIONS WITH TIME VALUE OF MONEY: IT MAKES CENTS 1(141)
The Basics of Time Value of Money
3(22)
A Simpler Time: The Basic Definitions
4(4)
The Nature of Compound Interest
8(5)
Time Value of Money and Your Calculator
13(3)
Applications of Future Value
16(8)
End Point
24(1)
The Dynamics of Compounding
25(20)
Compounding in a Nutshell
25(5)
Understanding Nominal and Effective Rates
30(6)
The Best Compounding Relationship
36(5)
Applications of Periodic Compounding
41(2)
End Point
43(2)
The Significance of Present Value
45(20)
Defining Present Value
45(7)
Determining Rate of Return
52(1)
Finding the Annual Rate of Return
53(1)
Determining Time to Achieve a Specified Return
54(1)
Applications of Present Value
55(7)
End Point
62(3)
The Fundamentals of Cash Flows
65(24)
Defining a Cash Flow
66(1)
Defining Annuities
66(7)
Annuity Structure of an IRA Plan
73(1)
The Present Value of an Annuity
73(3)
Determining the Payment Amount
76(2)
Applications of Cash Flow Analysis
78(9)
End Point
87(2)
The Beauty of Bonds
89(28)
The Nature of Bonds
89(1)
Defining Bonds
90(1)
How Coupon Bonds Work
90(3)
Cash Flow for a Zero-Coupon Bond
93(4)
What Makes Bonds Attractive Investments
97(11)
Applications of Bond Cash Flows
108(3)
Determining Yield to Maturity
111(4)
End Point
115(2)
The Decision-Making Power of Internal Rate of Return and Net Present Value
117(24)
How Companies Compare Returns among Competing Projects
118(4)
What the Internal Rate of Return Tells You
122(5)
Introducing Net Present Value (NPV)
127(6)
Applications of IRR and NPV
133(7)
End Point
140(1)
PART 2---BUSINESS STATISTICS: MAKING DECISIONS FROM DATA 141(148)
Organizing Your Data for Better Decision Making
143(32)
Statistics in Action
143(1)
Descriptive versus Inferential Statistics
144(4)
Rules Regarding Sampling
148(3)
Details Regarding Frequency Classes
151(6)
The Mean as a Measure of Central Tendency
157(6)
The Median---Not Influenced by Outliers
163(1)
Mean or Median---Which Is Better?
164(1)
The Mode---Identifying the Clusters
165(1)
Skewness
166(1)
Applications of Data Organization and Central Tendency
166(6)
End Point
172(3)
Describing Variation
175(18)
Defining Variation
176(1)
The First Measure of Variation: Range
177(1)
The Second Measure of Variation: Average Deviation
178(2)
A Better Measure of Variation: Variance
180(2)
The Almighty Standard Deviation
182(4)
The Coefficient of Variation
186(1)
Applications of Data Variation
187(4)
End Point
191(2)
Fundamentals of Probability Distributions
193(18)
The Nature of Random Variables
194(1)
Discrete and Continuous Variables
194(1)
Introducing Probability
195(8)
Expected Value and the Mean
203(3)
Applications of the Binomial Distribution
206(3)
End Point
209(2)
Probability and the Normal Distribution
211(28)
Perspective on the Normal Distribution
212(7)
Finding Probabilities with the Normal Distribution
219(1)
The Importance of Sketching
219(1)
Using the Standard Normal Distribution
220(7)
The Importance of Sample Means
227(2)
Applications of the Normal Distribution
229(8)
End Point
237(2)
Hypothesis Testing
239(20)
Hypothesis Testing and Quality Control---A Case
240(1)
Defining the Null Hypothesis Setup
240(1)
Creating a Null Hypothesis
241(1)
Decision Options in Hypothesis Testing
242(2)
Determining Risk with Type I and Type II Errors
244(9)
Using Level of Significance to Define Decision Limits or Critical Values
253(2)
Applying Hypothesis Testing
255(2)
End Point
257(2)
Regression and Estimation
259(30)
Correlation and Causation
260(1)
The Difference between Regression and Correlation
260(1)
Types of Regression Models
261(1)
Conducting a Bivariate Study
262(2)
Mapping the Steps in Regression Analysis
264(7)
Regression and the Computer
271(5)
Applications of Regression Analysis
276(11)
End Point
287(2)
PART 3---ALL THE ALGEBRA AND HIGH SCHOOL MATH YOU NEED FOR BUSINESS 289(42)
Algebra Redux
291(40)
Recommended Method of Proceeding
291(1)
Operations with Numerical and Algebraic Expressions
292(5)
The Importance of Factoring
297(2)
Solving First-Degree Equations
299(2)
Functions
301(5)
The Importance of Slope
306(2)
Behavior of the Quadratic Function
308(5)
Solving Systems of Equations
313(5)
Behavior of the Exponential Function
318(3)
Behavior of ex and Continuous Compounding
321(2)
Using Summation Notation
323(1)
Using Logarithms
324(3)
Factorials and Their Applications
327(4)
Appendix---Time Value of Money and Standard Normal Distribution Tables 331(7)
Index 338

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