Özet
Black′s latest outstanding pedagogy of Business Statistics includes the use of extra problems called "Demonstration Problems" to provide additional insight and explanation to working problems, and presents concepts, topics, formulas, and application in a manner that is palatable to a vast audience and minimizes the use of "scary" formulas.
Every chapter opens up with a vignette called a "Decision Dilemma" about real companies, data, and business issues. Solutions to these dilemmas are presented as a feature called "Decision Dilemma Solved." In this edition all cases and "Decision Dilemmas" are updated and revised and 1/3 have been replaced for currency. There is also a significant number of additional problems and an extremely competitive collection of databases (containing real data) on: international stock markets, consumer food, international labor, financial, energy, agribusiness, 12-year gasoline, manufacturing, and hospital.
Ken Black is currently Professor of Decision Sciences in the School of Business and Public Administration at the University of Houston-Clear Lake. Born in Cambridge, Massachusetts and raised in Missouri, he earned a Bachelor′s degree in mathematics from Graceland College, a Master′s degree in math education from the University of Texas at El Paso, a Ph.D. in business administration in management science, and a Ph.D. in educational research from the University of North Texas.
Since joining the faculty in 1979, Professor Black has taught all levels of statistics courses, forecasting, management science, market research, and production/operations management. He published fifteen journal articles and over twenty professional papers, as well as two textbooks: Business Statistics: An Introductory Course and Business Statistics: Contemporary Decision Making. Black has consulted for many different companies, including Aetna, City of Houston, NYLCare, At&T, Johnson Space Center, Southwest Information resource, Connect Corporation, and Eagle Engineering.
