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.