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Business Statistics in Practice , Seventh Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Seventh Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.
List of contents
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 for Means and Proportions
Chapter 11: Statistical Inferences for Population Variances
Chapter 12: Experimental Design and Analysis of Variance
Chapter 13: Chi-Square Tests
Chapter 14: Simple Linear Regression Analysis
Chapter 15: Multiple Regression and Model Building
Chapter 16: Time Series Forecasting and Index Numbers
Chapter 18: Nonparametric Methods
Chapter 19: Decision Theory
Appendix A: Statistical Tables
Appendix B: Answers to Most Odd-Numbered Exercises
Appendix C: References
Photo Credits
Index
Case Index
About the author
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. O'Connell, 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.
