Chapter 1: An Introduction to Business Statistics Chapter 2: Descriptive Statistics Chapter 3: Probability Chapter 4: Discrete Random Variables Chapter 5: Continuous Random Variables Chapter 6: Sampling Distributions Chapter 7: Confidence Intervals Chapter 8: Hypothesis Testing Chapter 9: Statistical Inferences Based on Two Samples Chapter 10: Experimental Design and Analysis of Variance Chapter 11: Chi Square Tests Chapter 12: Simple Linear Regression Analysis Chapter 13: Multiple Regression and Model-Building Chapter 14: Process Improvement Using Control (On CD ROM) Appendix A. Statistical Tables Appendix B. Covariance and Correlation Appendix C (1) Counting Rules Appendix C (2) The Hypergeometric Distribution Appendix D The Normal Probability Plot Appendix E Two-Way Analysis of Variance (On CD ROM)
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 the Decision Sciences Institute and the American Statistical
Association. In his spare time, Professor OConnell enjoys fishing,
collecting 1950s and 1960s rock music, and following the Green Bay
Packers and Purdue University sports.
James Burdeane Deane Orris J.B. Orris is a professor of management
science at Butler University in Indianapolis, Indiana. He received
his Ph.D. from the University of Illinois in 1971, and in the late
1970s with the advent of personal computers, he combined his
interest in statistics and computers to write one of the first
personal computer statistics packagesMICROSTAT. Over the past 20
years, MICROSTAT has evolved into MegaStat, which is an Excel
add-in statistics program. In 1999 he wrote an Excel book
(Essentials: Excel 2000 Advanced) and has done work in neural
networks, spreadsheet simulation, and statistical analysis for many
research projects. He has taught statistics and computer courses in
the College of Business Administration of Butler University since
1971. He is a member of the American Statistical Association and is
past president of the Central Indiana Chapter. In his spare time,
Professor Orris enjoys reading, working out, and working in his
woodworking shop.
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