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 you’ll find all the content you need to pass your class and get your degree. You’ll 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 Dummies gives you an introduction to probability, sampling techniques and distributions, and drawing conclusions from data. You’ll 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 statistics
* Learn tricky concepts with simplified explanations and illustrative graphs
* See how statistics applies in the real world, thanks to concrete examples
* Read 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.
Table des matières
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 Student’s 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
A propos de l’auteur
Alan Anderson, Ph D, 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.
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