Premba Analytical Primer: Essential Quantitative Concepts for Business Math by Regina TrevinoPremba Analytical Primer: Essential Quantitative Concepts for Business Math by Regina Trevino

Premba Analytical Primer: Essential Quantitative Concepts for Business Math

byRegina Trevino

Paperback | January 19, 2009

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This book is a review of the analytical methods required in most of the quantitative courses taught at MBA programs. Students with no technical background, or who have not studied mathematics since college or even earlier, may easily feel overwhelmed by the mathematical formalism that is typical of economics and finance courses. These students will benefit from a concise and focused review of the analytical tools that will become a necessary skill in their MBA classes. The objective of this book is to present the essential quantitative concepts and methods in a self-contained, non-technical, and intuitive way. 
Regina Treviño is Assistant Professor of Economics in the Graduate School of Business at Loyola University Chicago.  She earned her PhD in Business Economics and MBA from the University of Chicago Graduate School of Business.
Title:Premba Analytical Primer: Essential Quantitative Concepts for Business MathFormat:PaperbackDimensions:224 pagesPublished:January 19, 2009Publisher:Palgrave Macmillan USLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0230609139

ISBN - 13:9780230609136


Table of Contents

Preface*Acknowledgments*Mathematical Symbols and Abbreviations* Chapter 1 Business Math: Functions and Graphs* 1.1 Functions*1.2 Graphing Functions*1.3 Equations*1.4 Linear Functions*1.5 Absolute Value*1.6 Slopes and Intercepts of Linear Functions*1.7 Solving Two-Variable Systems of Linear Equations*1.8 Properties of Functions*1.9 Exponents*1.10 Changes and Growth Rates*1.10.2 Index Numbers*Chapter 2 Business Math: Optimization*2.1 Nonlinear Functions* 2.2 The Concept of a Derivative*2.3 Graphical Interpretation of Derivatives*2.4 Additional Topics on Derivatives*2.5 Second Derivatives*2.6 Partial Derivatives*2.7 Optimization*2.9 Measuring Areas under Linear Functions*2.10 Economic Models *2.11 Comparative Statics Analysis*Chapter 3  Statistical Analysis Primer *3.1 Elements of Statistics*3.2 Sigma Notation*3.3 Measures of Central Tendency *3.4 Frequency Tables and Histograms*3.5 Measures of Variability*3.6 Measures of Association*3.7 Probability Essentials*3.8 Discrete Random Variables*3.9 Continuous Random Variables*3.10 An Introduction to Estimation* 3.11 Regression Analysis*3.12 Hypothesis Testing*Chapter 4  Mathematics of Finance*4.1 Time Value of Money*4.2 Real and Nominal Rates of Interest *4.3 Compound Interest *4.4 Annuities*4.5 Perpetuities*4.6 Net Present Value *4.7 Bonds *4.8 Common Stocks *4.9 Portfolio Theory Primer*List of Rules*Answers to Practice Exercises *References* Index

Editorial Reviews

 “This book is invaluable …. The author assumes the reader has no prior knowledge of math whatsoever, and succeeds in getting through the basic tools and concepts in Business Mathematics, Statistics, and Financial mathematics required for your MBA. If you need to refresh your basic math before Graduate School, buy this book. There is no other one like it.” -- Luis Garicano, Professor of Economics and Strategy, University of Chicago  Graduate School of Business and Director of Research, Management Department, London School of Economics.“This book is a great help for MBAs and executive MBAs who come into the program without a quantitative or financial/economic background.”  -- Mine Cinar, Department Chairperson, Economics, School of Business Administration, Loyola University Chicago“When you get your MBA you need to be immediately in command of the material. This requires being up to date in the fundamental mathematical tools behind economics, finance, and statistics. If you study this concise, no-nonsense book, you'll be on top of things from day one.” -- Luis Rayo, Associate Professor of Economics, University of Chicago Graduate School of Business