Introduction 1
Part I: 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 23
Chapter 3: Finding a Happy Medium: Identifying the Center of a Data Set 39
Chapter 4: Searching High and Low: Measuring Variation in a Data Set 55
Chapter 5: Measuring How Data Sets Are Related to Each Other 71
Part II: Probability Theory and Probability Distributions 91
Chapter 6: Probability Theory: Measuring the Likelihood of Events 93
Chapter 7: Probability Distributions and Random Variables 111
Chapter 8: The Binomial, Geometric, and Poisson Distributions 121
Chapter 9: The Uniform and Normal Distributions: So Many Possibilities! 139
Chapter 10: Sampling Techniques and Distributions 165
Part III: Drawing Conclusions from Samples 185
Chapter 11: Confidence Intervals and the Student’s t-Distribution 187
Chapter 12: Testing Hypotheses about the Population Mean 201
Chapter 13: Testing Hypotheses about Multiple Population Means 233
Chapter 14: Testing Hypotheses about the Population Mean 251
Part IV: More Advanced Techniques: Regression Analysis and Forecasting 281
Chapter 15: Simple Regression Analysis 283
Chapter 16: Multiple Regression Analysis: Two or More Independent Variables 309
Chapter 17: Forecasting Techniques: Looking into the Future 327
Part V: The Part of Tens 351
Chapter 18: Ten Common Errors That Arise in Statistical Analysis 353
Chapter 19: Ten Key Categories of Formulas for Business Statistics 361
Index 373