Practical Business Statistics

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
Appendix A - Employee Database
Appendix B - Donations Database
Appendix C – Self-Test: Solutions to Selected Problems and Database Exercises
Appendix D - Statistical Tables