ISBN-10:
0471705632
ISBN-13:
9780471705635
Pub. Date:
01/08/2005
Publisher:
Wiley
Business Statistics: Contemporary Decision Making / Edition 4

Business Statistics: Contemporary Decision Making / Edition 4

by Ken Black

Hardcover

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Overview

Business Statistics: Contemporary Decision Making / Edition 4

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Product Details

ISBN-13: 9780471705635
Publisher: Wiley
Publication date: 01/08/2005
Edition description: 4th Edition Update
Pages: 864
Product dimensions: 8.82(w) x 11.08(h) x 1.22(d)

About the 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, Massachusettes 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 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. He has consulted with 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, coaching girls' softball, and participating in Master's track and field as a long jumper and a triple jumper.

Table of Contents

Preface.

About the Author.

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. Analysis of Categorical Data.

13. Simple Regression Analysis.

14. Multiple Regression Analysis.

15. Building Multiple Regression Models.

16. Time-Series Forecasting and Index Numbers.

17. Nonparametric Statistics.

18. Statistical Quality Control.

19. Decision Analysis.

Appendix A: Tables.

Appendix B: Answers to Selected Odd-Numbered Quantitative Problems

Glossary

Index.

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