Part I: Introduction and Descriptive Statistics

Chapter 1: Introduction: Defining the Role of Statistics in Business

Chapter 2: Data Structures: Classifying the Various Types of Data Sets

Chapter 3: Histograms: Looking at the Distribution of Data

Chapter 4: Landmark Summaries: Interpreting Typical Values and Percentiles

Chapter 5: Variability: Dealing with Diversity

Part II: Probability

Chapter 6: Probability: Understanding Random Situations

Chapter 7: Random Variables: Working with Uncertain Numbers

Part III: Statistical Inference

Chapter 8: Random Sampling: Planning Ahead for Data Gathering

Chapter 9: Confidence Intervals: Admitting That Estimates Are Not Exact

Chapter 10: Hypothesis Testing: Deciding Between Reality and Coincidence

Part IV: Regression and Time Series

Chapter 11: Correlation and Regression: Measuring and Predicting Relationships

Chapter 12: Multiple Regression: Predicting One Variable From Several Others

Chapter 13: Report Writing: Communicating the Results of a Multiple Regression

Chapter 14: Time Series: Understanding Changes Over Time

Part V: Methods and Applications

Chapter 15: ANOVA: Testing for Differences Among Many Samples and Much More

Chapter 16: Nonparametrics: Testing with Ordinal Data or Nonnormal Distributions

Chapter 17: Chi-Squared Analysis: Testing for Patterns in Qualitative Data

Chapter 18: Quality Control: Recognizing and Managing Variation