Make some headway in the notoriously tough subject of business statistics

Business Statistics For Dummies helps you understand the core concepts and principles of business statistics, and how they relate to the business world. This book tracks to a typical introductory course offered at the undergraduate, so you know youll find all the content you need to pass your class and get your degree. Youll get an introduction to statistical problems and processes common to the world of global business and economics. Written in clear and simple language,Business Statistics For Dummiesgives you an introduction to probability, sampling techniques and distributions, and drawing conclusions from data. Youll also discover how to use charts and graphs to visualize the most important properties of a data set.Grasp the core concepts, principles, and methods of business statisticsLearn tricky concepts with simplified explanations and illustrative graphsSee how statistics applies in the real world, thanks to concrete examplesRead charts and graphs for a better understanding of how businesses operate

Business Statistics For Dummies is a lifesaver for students studying business at the college level. This guide is also useful for business professionals looking for a desk reference on this complicated topic.

Alan Anderson, PhD, FRM, is a lecturer in the department of Economics at Fordham University. He is also Adjunct Professor of Finance at NYU, Adjunct Professor of Economics and Mathematics at Purchase College, SUNY, and Adjunct Professor of Finance at Manhattanville College. He has also worked at corporate institutions such as TIAA-CREF and Reuters in quantitative risk and analyzing credit spreads.

Introduction 1

Part 1: Getting Started with Business Statistics 5

Chapter 1: The Art and Science of Business Statistics 7

Chapter 2: Pictures Tell the Story: Graphical Representations of Data 21

Chapter 3: Identifying the Center of a Data Set 35

Chapter 4: Measuring Variation in a Data Set 53

Chapter 5: Measuring How Data Sets Are Related to Each Other 71

Part 2: Probability Theory and Probability Distributions 95

Chapter 6: Probability Theory: Measuring the Likelihood of Events 97

Chapter 7: Probability Distributions and Random Variables 115

Chapter 8: The Binomial and Poisson Distributions 127

Chapter 9: The Normal Distribution: So Many Possibilities! 145

Chapter 10: Sampling Techniques and Distributions 165

Part 3: Drawing Conclusions from Samples 185

Chapter 11: Confidence Intervals and the Students t-Distribution 187

Chapter 12: Testing Hypotheses about the Population Mean 205

Chapter 13: Applications of the Chi-Square Distribution 245

Chapter 14: Applications of the F-Distribution 273

Part 4: More Advanced Techniques: Regression Analysis and Spreadsheet Modeling 287

Chapter 15: Simple Regression Analysis 289

Chapter 16: Key Statistical Techniques in Excel 317

Part 5: The Part of Tens 343

Chapter 17: Ten Common Errors That Arise in Statistical Analysis 345

Chapter 18: (Almost) Ten Key Categories of Formulas for Business Statistics 353

Index 363