PreMBA Analytical Primer

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.

"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." - Professor 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

Auteur

REGINA TREVINO is Assistant Professor of Economics in the School of Business Administration at Loyola University Chicago, USA.

Contenu
Preface Acknowledgments Mathematical Symbols and Abbreviations PART I: BUSINESS MATH: FUNCTIONS AND GRAPHS Functions Graphing Functions Equations Linear Functions Absolute Value Slopes and Intercepts of Linear Functions Solving Two-Variable Systems of Linear Equations Properties of Functions Exponents Changes and Growth Rates Index Numbers PART II: BUSINESS MATH: OPTIMIZATION Nonlinear Functions The Concept of a Derivative Graphical Interpretation of Derivatives Additional Topics on Derivatives Second Derivatives Partial Derivatives Optimization Measuring Areas under Linear Functions Economic Models Comparative Statistics Analysis PART III: STATISTICAL ANALYSIS PRIMER Elements of Statistics Sigma Notation Measures of Central Tendency Frequency Tables and Histograms Measures of Variability Measures of Association Probability Essentials Discrete Random Variables Continuous Random Variables An Introduction to Estimation Regression Analysis Hypothesis Testing PART IV: MATHEMATICS OF FINANCE Time Value of Money Real and Nominal Rates of Interest Compound Interest Annuities Perpetuities Net Present Value Bonds Common Stocks Portfolio Theory Primer List of Rules Answers to Practice Exercises References Index