This new edition continues presenting the concepts of statistics in a setting of business decision making through the use of real business data and applications. The text is targeted at the large majority of readers who likely will not be statisticians but rather will become decision makers in the business community and will need the quantitative decision-making skills and statistical understanding to perform well in the business world. From the creation of this text, it was intended to expose the reader to statistics through the process of having read the text and explored its problem sets. To this end, "real" data and examples from the business environment are virtually everywhere. The main objective of this edition is to create a blending of statistics with the world of business to provide a seamless partnership in better business decision making.
Ken Black is currently professor of decision sciences in the School of Business 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 University, 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 of UHCL in 1979, Professor Black has taught all levels of statistics courses, forecasting, management science, market research, and production/operations management. In 2005, he was awarded the President's Distinguished teaching Award for the university. He has published over 20 journal articles and 20 professional papers, as well as two textbooks: Business Statistics: An Introductory Course and business Statistics for contemporary Decision Making. black has consulted for many different companies, including Aetna, the city of Houston, NYLCare, AT&T, Johnson Space center, Southwest Information Resources, Connect Corporation, and Eagle Engineering.
Ken Black and his wife, Carolyn, have two daughters, Caycee and Wendi, His hobbies include playing the guitar, reading, traveling, and running.
1. Introduction to Statistics. 2. Charts and Graphs. 3. Descriptive Statistics. 4. Probability. 5. Discrete Distributions. 6. Continuous Distributions. 7. Sampling and Sampling Distributions. 8. Statistical Inference: Estimation for Single Populations. 9. Statistical Inference: Hypothesis Testing for Single Populations. 10. Statistical Inferences about Two Populations. 11. Analysis of Variance and Design of Experiments. 12. Simple Regression and Correlation Analysis. 13. Multiple Regression Analysis and Model Building. 14. Index Numbers. 15. Forecasting and Time Series. 16. Chi-Square and Other Nonparametric Statistics. 17. Statistical Quality Control. 18. Decision Analysis. Appendix A. Tables. Appendix B. Answers to Selected Odd-Numbered Quantitative Problems. Appendix C. References. Glossary. Index.