Essentials of Business Statistics

Bruce L. Bowerman is 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 40 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 an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. OConnell, Professor Bowerman has written 16 textbooks. These include Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. The fi rst edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine. Professor Bowerman has also published a number of articles in applied stochastic processes, time series forecasting, and statistical education. In his spare time, Professor Bowerman enjoys watching movies and sports, playing tennis, and designing houses.



Richard T. OConnell is associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 35 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. He also has extensive consulting experience and has taught workshops dealing with statistical process control and process improvement for a variety of companies in the Midwest. In 2000, Professor OConnell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written 16 textbooks. These include Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. Professor OConnell has published a number of articles in the area of innovative statistical education. 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. He has also given presentations on this subject at meetings such as the Joint Statistical Meetings of the American Statistical Association and the Workshop on Total Quality Management: Developing Curricula and Research Agendas (sponsored by the Production and Operations Management Society). Professor OConnell received an M.S. degree in Decision Sciences from Northwestern University in 1973, and he is currently a member of both ...

Chapter 1 An Introduction to Business Statistics

Chapter 2 Descriptive Statistics: Tabular and Graphical Methods

Chapter 3 Descriptive Statistics: Numerical Methods

Chapter 4 Probability

Chapter 5 Discrete Random Variables

Chapter 6 Continuous Random Variables

Chapter 7 Sampling and Sampling Distributions

Chapter 8 Confidence Intervals

Chapter 9 Hypothesis Testing

Chapter 10 Statistical Inferences Based on Two Samples

Chapter 11 Experimental Design and Analysis of Variance

Chapter 12 Chi-Square Tests

Chapter 13 Simple Linear Regression Analysis

Chapter 14 Multiple Regression and Model Building

Appendix A Statistical Tables

Answers to Most Odd-Numbered Exercises

Preferences

Photo Credits

Index

Chapter 15 Process Improvement Using Control Charts