Business Statistics For Dummies

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

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.