Business Statistics For Contemprory Decision Makin

The text is targeted to the large number of students who will not be statisticians but rather will become decision makers in business. The goal is to make students better quantitative decision makers. The concepts of statistics are presented in the setting of business decision making through the use of many real world examples, real business data and applications.

Table of contents :
Preface
About the Author
· Introduction to Statistics
· Charts and Graphs
· Descriptive Statistics
· Probability
· Discrete Distributions
· Continuous Distributions
· Sampling and Sampling Distributions
· Statistical Inference: Estimation for Single Populations
· Statistical Inference: Hypothesis Testing for Single Populations
· Statistical Inferences about Two Populations
· Analysis of Variance and Design of Experiments
· Analysis of Categorical Data
· Simple Regression Analysis
· Multiple Regression Analysis
· Building Multiple Regression Models
· Time-Series Forecasting and Index Numbers
· Nonparametric Statistics
· Statistical Quality Control
Appendix A: Tables
Appendix B: Answers to Selected Odd-Numbered Quantitative Problems
Glossary
Index
On the Accompanying CD
· Decision Analysis
· Summation Notation
· Derivation of Simple Regression Formulas for Slope and y Intercept
· Advanced Exponential Smoothing

Market Description :
· Students

About Author :
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.S. in business administration in management science, and a Ph.S. 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 has 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 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 participating in Master's track and field as a long jumper.