Practical Business Statistics, Eighth Edition, offers readers a practical, accessible approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book fosters deep understanding of both how to learn from data and how to deal with uncertainty, while promoting the use of practical computer applications. This trusted resource teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results.
The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.
1. Part I: Introduction and Descriptive Statistics - p. xix 2. Chapter 1. Introduction: Defining the Role of Statistics in Business - p. 3 3. Chapter 2. Data Structures: Classifying the Various Types of Data Sets - p. 19 4. Chapter 3. Histograms: Looking at the Distribution of Data - p. 45 5. Chapter 4. Landmark Summaries: Interpreting Typical Values and Percentiles - p. 75 6. Chapter 5. Variability: Dealing with Diversity - p. 105 7. Part II: Probability - p. 134 8. Chapter 6. Probability: Understanding Random Situations - p. 137 9. Chapter 7. Random Variables: Working with Uncertain Numbers - p. 171 10. Part III: Statistical Inference - p. 202 11. Chapter 8. Random Sampling: Planning Ahead for Data Gathering - p. 205 12. Chapter 9. Confidence Intervals: Admitting That Estimates Are Not Exact - p. 237 13. Chapter 10. Hypothesis Testing: Deciding Between Reality and Coincidence - p. 267 14. Part IV: Regression and Time Series - p. 309 15. Chapter 11. Correlation and Regression: Measuring and Predicting Relationships - p. 313 16. Chapter 12. Multiple Regression: Predicting One Variable From Several Others - p. 371 17. Chapter 13. Report Writing: Communicating the Results of a Multiple Regression - p. 433 18. Chapter 14. Time Series: Understanding Changes Over Time - p. 445 19. Part V: Methods and Applications - p. 482 20. Chapter 15. ANOVA: Testing for Differences Among Many Samples and Much More - p. 485 21. Chapter 16. Nonparametrics: Testing With Ordinal Data or Nonnormal Distributions - p. 511 22. Chapter 17. Chi-Squared Analysis: Testing for Patterns in Qualitative Data - p. 531 23. Chapter 18. Quality Control: Recognizing and Managing Variation - p. 550 24. Chapter 19. Statistical (Machine) Learning: Using Complex Models With Large Data Sets - p. 571 25. Appendix A. Employee Database - p. 599 26. Appendix B. Donations Database - p. 603 27. Appendix C. Self-Test: Solutions to Selected Problems and Database Exercises - p. 607 28. Appendix D. Statistical Tables - p. 621 29. Index - p. 655
Practical Business Statistics, Eighth Edition, offers readers a practical, accessible approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book fosters deep understanding of both how to learn from data and how to deal with uncertainty, while promoting the use of practical computer applications. This trusted resource teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results.
The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.
1. Part I: Introduction and Descriptive Statistics - p. xix 2. Chapter 1. Introduction: Defining the Role of Statistics in Business - p. 3 3. Chapter 2. Data Structures: Classifying the Various Types of Data Sets - p. 19 4. Chapter 3. Histograms: Looking at the Distribution of Data - p. 45 5. Chapter 4. Landmark Summaries: Interpreting Typical Values and Percentiles - p. 75 6. Chapter 5. Variability: Dealing with Diversity - p. 105 7. Part II: Probability - p. 134 8. Chapter 6. Probability: Understanding Random Situations - p. 137 9. Chapter 7. Random Variables: Working with Uncertain Numbers - p. 171 10. Part III: Statistical Inference - p. 202 11. Chapter 8. Random Sampling: Planning Ahead for Data Gathering - p. 205 12. Chapter 9. Confidence Intervals: Admitting That Estimates Are Not Exact - p. 237 13. Chapter 10. Hypothesis Testing: Deciding Between Reality and Coincidence - p. 267 14. Part IV: Regression and Time Series - p. 309 15. Chapter 11. Correlation and Regression: Measuring and Predicting Relationships - p. 313 16. Chapter 12. Multiple Regression: Predicting One Variable From Several Others - p. 371 17. Chapter 13. Report Writing: Communicating the Results of a Multiple Regression - p. 433 18. Chapter 14. Time Series: Understanding Changes Over Time - p. 445 19. Part V: Methods and Applications - p. 482 20. Chapter 15. ANOVA: Testing for Differences Among Many Samples and Much More - p. 485 21. Chapter 16. Nonparametrics: Testing With Ordinal Data or Nonnormal Distributions - p. 511 22. Chapter 17. Chi-Squared Analysis: Testing for Patterns in Qualitative Data - p. 531 23. Chapter 18. Quality Control: Recognizing and Managing Variation - p. 550 24. Chapter 19. Statistical (Machine) Learning: Using Complex Models With Large Data Sets - p. 571 25. Appendix A. Employee Database - p. 599 26. Appendix B. Donations Database - p. 603 27. Appendix C. Self-Test: Solutions to Selected Problems and Database Exercises - p. 607 28. Appendix D. Statistical Tables - p. 621 29. Index - p. 655
