Learn tricky concepts with simplified explanations and illustrative graphs
Table of Contents
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
