Business Statistics in Practice » (6th Edition)

Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received and Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 11 textbooks. These include Forecasting and Time Series: An Applied Approach and Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine.

Richard T. O'Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.

The new edition of Business Statistics in Practice provides a modern, practical, and unique framework for teaching the first course in business statistics. This framework features case study and example-driven discussions of all basic business statistics topics. In addition, the authors have rewritten many of the discussions in this edition and have explained concepts more simply from first principles. The only prerequisite for this text is high school algebra.

1. An Introduction to Business Statistics2. Descriptive Statistics: Tabular and Graphical Methods3. Descriptive Statistics: Numerical Methods4. Probability5. Discrete Random Variables6. Continuous Random Variables7. Sampling Distributions8. Confidence Intervals9. Hypothesis Testing10. Statistical Inferences Based on Two Samples11. Experimental Design and Analysis of Variance12. Chi-Square Tests13. Simple Linear Regression Analysis14. Multiple Regression15. Model Building and Model Diagnostics16. Time Series Forecasting17. Process Improvement Using Control Charts18. Nonparametric Methods19. Decision TheoryAppendix A: Statistical TablesAppendix B: Counting RulesAppendix C: Hypergeometric DistributionAppendix D: Properties of the Mean and the Variance of a Random Variable, and the CovarianceAppendix E: Derivations of the Mean and Variance of x(bar) and p(hat