Complete Business Statistics (With Student CD-ROM)

0.0

Key Features Excellent examples, problems, and cases which directly relate to and support the chapter topic. This application of concepts affords students a rich understanding of business statistics. Excellent examples, problems, and cases which directly relate to and support the chapter topic. This application of concepts affords students a rich understanding of business statistics. Abundant use of international examples and problems. Intuitive figures that show and help explain concepts, giving students a visual to refer to in order to better understand the narrative discussion. Comprehensive coverage of concepts that provides their historical sources, so that students canknow how a concept came into being and understand why it was needed. Summary review of terms at the ends of chapters in narrative style to remind students of what they covered and how it's all connected. Real world problems drawn from current sources, including finance, marketing and sales, government, sports, retail, real estate, etc. About The Author Amir Aczel The Center for Philosophy and History of Science at Boston University, and is an occasional business commentator on CNN. He earned his B.A. in mathematics and M.S. in operations research from the University of California?Berkeley, and he was awarded his Ph.D. in statistics from the University of Oregon. Prior to assuming his current position, Aczel lived and taught in California, Alaska, Europe, the Middle East, and the Far East. Aczel is the author of 11 books on mathematics, business, and statistics. His best known book, Fermat's Last Theorem, discusses the quest to prove a heretofore unprovable mathematical theorem. The recently published The Riddle of the Compass discusses the invention of the compass. Jayavel Sounderpandian Professor of quantitative methods at the University of Wisconsin?Parkside, where he has been teaching business statistics and operations management for 21 years. He earned his doctoral and master's degrees in business from Kent State University and received his bachelor's degree in mechanical engineering from the Indian Institute of Technology, Madras. Before turning to academia, Sounderpandian worked as an engineer for seven years at an aircraft manufacturing company in India. Table Of Contents Chapter 1. Introduction and Descriptive Statistics Chapter 1. Introduction and Descriptive Statistics Chapter 2. Probability Chapter 3 Random Variables Chapter 4. The Normal Distribution Chapter 5. Sampling and Sampling Distributions Chapter 6. Confidence Intervals Chapter 7. Hypothesis Testing Chapter 9 Analysis of Variance Chapter 10. Simple Linear Regression and Correlation Chapter 11. Multiple Regression and Correlation Chapter 12. Time Series, Forecasting, and Index Numbers Chapter 13. Quality Control and Improvement Chapter 14. Nonaromatic Methods and Chi-Square Test Chapter 15. Bayesian Statistics and Decision Analysis APPENDICES A: References B: Answers to Most Odd-Numbered Problems C: Statistical Tables on the CD Chapter 16. Sampling Methods Chapter 17. Multivariate Analysis INDEX