Business Statistics: Contemporary Decision Making » (6th Edition)

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.

Applying the Power of Statistics to business Strategies.

Every business area relies on an understanding of statistics to succeed. Ken black's business Statistics: contemporary Decision making effectively equips students with the quantitative decision-making skills and analysis techniques needed to make smart decisions based on real-world data. The Sixth Edition helps professors to facilitate a highly successful, mathematically appropriate experience for each business statistics student.

Highlights of the 6th Edition:

• Decision Dilemma-Chapter-opening vignettes and end-of-chapter solutions present relevant business-world scenarios.

• New Organization-Chapters and topics such as regression analysis and correlation have been restructured to reflect the most common teaching order.

• Tree Taxonomy Diagram-Streamlined and reduced in size so students can see the big picture of inferential statistics, faster.

• Excel and Minitab databases, and a new HTAB system-Problems and exercises from a management perspective, similar to PDCA and DMAIC of Six Sigma.

• Video Tutorials-Twelve video sessions that feature the author providing students with extra assistance on key difficult topics.

Online tools to help you apply the power of statistics to real-world business!

WileyPLUS-A powerful online tool that provides instructors and students with an integrated suite of teaching and learning resources in one easy-to-use website. In addition to a complete online version of the text, online homework and grade book, and instant feedback, a Link-to-Text feature allows students to access specific portions of their online text for immediate, contextual help as they are working. each Video, Animation, and Minitab and Excel output explanation is marked to remind students of additional online statistical package information. now all end-of-chapter problems and the Student's solutions manual are available in WileyPlus. Visit www.wileyplus.com.

Unit I: Introduction.

1 Introduction to Statistics.

2 Charts and Graphs.

3 Descriptive Statistics.

4 Probability.

Unit II: Distributions and Sampling.

5 Discrete Distributions.

6 Continuous Distributions.

7 Sampling and Sampling Distributions.

Unit III: Making Inferences About Population Parameters.

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.

Unit IV: regression Analysis and Forecasting.

12 Simple Regression Analysis and Correlation.

13 Multiple Regression Analysis.

14 Building Multiple Regression Models.

15 Time-Series Forecasting and Index Numbers.

Unit V: Nonparametric Statistics and Quality.

16 Analysis of Categorical Data.

17 Nonparametric Statistics.

18 Statistical Quality Control.

Appendices.

A Tables.

B Answers to Selected Odd-Numbered Quantitative Problems.

Glossary.

Index.