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Course in Business Statistics, A, 3/E
Patrick W. Shannon
David F. Groebner, Boise State University
Phillip C. Fry, Boise State University
Kent D. Smith, California Polytechnic State University, San Luis Obispo

ISBN-10: 013093657X
ISBN-13: 9780130936578

Publisher: Prentice Hall
Copyright: 2002
Format: Cloth Bound w/CD-ROM; 688 pp
Published: 08/01/2001

This item has been replaced by Course in Business Statistics with CD-ROM, 4/E.

For the one semester course in Business Statistics.

This text presents core topics in descriptive and inferential statistics with a rich assortment of business examples and real data and an emphasis on decision-making. There is significant emphasis on using statistical software as a tool, with most examples presented in a spreadsheet environment using Excel and Minitab.

Narrative writing style, captivating examples and applications, rich data sets–Woven into the narrative. The examples are interesting, realistic and drawn from all areas of business and life. Every topic is introduced in the context of a real business application complete with data. Real data, from small and large data sets, are used liberally within the examples and exercises.

Integrating the role of the computer–Excel and Minitab are integrated into the text in a seamless manner with a focus on interpretation of the software's output.

Excel and Minitab tutorials–A large number of examples that are presented in Excel or Minitab are supported with a detailed, animated PowerPoint tutorial.

Coverage of quality–Most chapters contain these specially marked sections, which feature applications of statistical techniques (i.e., data check sheets, Pareto charts, process capability analysis) that are frequently employed by organizations for quality and process improvement.

FREE additional resources on student CD
- –A free CD with every text provides:
- Excel and Minitab tutorials–Demonstrate Excel and Minitab skills.
- Excel simulations–Illustrate key statistical topics through the use of simulation. Instructors can use this to illustrate concepts such as confidence interval estimation and hypothesis testing, or do “what if” analysis.
- Additional examples–Provide extra reinforcement.
- Additional exercises and application problems–Extra exercises for practice or extra credit.
- Solved problems–Extra worked-out examples that provide a look at solution methods.
- PHStat–Prentice Hall's own Excel add-in, which can be used to solve many of the problems.
- Data files–Data for the examples and exercises, formatted in Excel, Minitab, SPSS, SAS and ASCII.
- Optional topics–Several additional topics that instructors might want to cover. See the table of contents for details.
- Link to MyPHLIP.

This text is available for personalization in the PHCBR custom database program. Select only the chapters you require or supplement with recommended case studies all under one cover. CLICK HERE to go directly to the PHCBR book-build site or visit our product page for additional information at pearsoncustom.com/business.

(NOTE: Each chapter contains Summary and Conclusions).

1. The Where, Why, and How of Data Collection.

What Is Business Statistics? Tools and Techniques for Collecting Data. Populations, Samples and Sampling Techniques. Data Types and Data Measurement Levels. Using Your Computer.

2. Graphs, Charts, and Tables—Describing Your Data.

Frequency Distributions and Histograms. Joint Frequency Distributions. Bar Charts and Pie Charts. Line Charts and Scatter Diagrams.

3. Describing Data Using Numerical Measures.

Measures of Central Tendency. Measures of Variation. Using the Mean and Standard Deviation Together.

4. Using Probability and Discrete Probability Distributions.

The Basics of Probability. The Rules of Probability. Discrete Probability Distributions. The Binomial Probability Distribution. The Poisson Probability Distribution.

5. Continuous Probability Distributions.

The Normal Probability Distribution. Other Continuous Probability Distributions.

6. Introduction to Sampling Distributions.

Sampling Error—What It Is and Why It Happens. The Basics of Sampling Distributions. Sampling Distribution of a Proportion.

7. Estimating Population Values.

Point and Confidence Interval Estimates. Determining the Appropriate Sample Size. Estimating a Population Proportion.

8. Introduction to Hypothesis Testing.

Hypotheses Tests for Means. Type II Errors. Hypotheses Tests for Proportions. Hypotheses Tests for Variance.

9. Hypothesis Testing and Estimation for Two Population Parameters.

Hypothesis Tests for Two Population Variances. Hypothesis Tests and Estimation for Two Population Means. Estimation and Hypothesis Tests for Two Population Proportions.

10. Analysis of Variance.

One-Way Analysis of Variance. Randomized Complete Block Analysis of Variance.

11. Introduction to Linear Regression and Correlation Analysis.

Correlation. Simple Linear Regression Analysis. Uses for Regression Analysis.

12. Multiple Regression Analysis and Model Building.

Introduction to Multiple Regression Analysis. Using Qualitative Independent Variables. Stepwise Regression.

13. Analyzing and Forecasting Time-Series Data.

Introduction to Forecasting and Time-Series Data. Trend-Based Forecasting Techniques. Forecasting Using Smoothing Methods.

CD-ROM Chapters:

14. Goodness-of-Fit Tests and Contingency Analysis.

Introduction to Goodness-of-Fit Tests. Introduction to Contingency Analysis.

15. Introduction to Nonparametric Statistics.

Testing for Randomness Using the Runs Test. Nonparametric Tests for Two Population Centers. Kruskal-Wallis One-Way Analysis of Variance.

16. Introduction to Quality and Statistical Process Control.

Quality Management and Tools for Process Improvement. Introduction to Statistical Process Control Charts.

17. Introduction to Decision Analysis.

Decision-Making Environments. Decision Criteria. Cost of Uncertainty. Decision-Tree Analysis. Risk-Preference Attitudes and Functions.

Answer Section.

List of Tables.

Appendix A: Random Numbers Table.

Appendix B: Binomial Distribution Table—Individual Probabilities and Cumulative Probabilities.

Appendix C: Poisson Probability Distribution Table.

Appendix D: Standard Normal Distribution Table.

Appendix E: Exponential Distribution Table.

Appendix F: Values of t for Selected Probabilities.

Appendix G: Values of …2 for Selected Probabilities.

Appendix H: F-Distribution Table Table.

Appendix I: Critical Values of Hartley's F<v>max Test.

Appendix J: Distribution of the Studentized Range.

Appendix K: Critical Values for r in the Runs Test.

Appendix L: Mann-Whitey U Test Probabilities (n<9)

Appendix M: Mann-Whitey U Test Critical Values (9…ân…â20)

Appendix N: Critical Values of T in the Wilcoxon Match-Pairs Signed-Ranks Tests (n…â25).

Glossary.

Index.

Introduction to Business Statistics (Two Semester) (Business Statistics)

Course in Business Statistics with CD-ROM, 4/E
Groebner, Shannon, Fry & Smith
©2006 | Prentice Hall | Paper Bound w/CD-ROM; 656 pp | Instock
ISBN-10: 0131676091 | ISBN-13: 9780131676091
Brief Description | Buy from myPearsonStore

For a 1-semester course in business statistics.

This brief paperback text builds student confidence by incorporating a unique, step-by-step system of examples, exercises, and special review sections. This step-by-step framework allows students to learn by example, practice with exercises that step-up in level of difficulty, and solidify their understanding via one of-a-kind, review sections.

A more comprehensive version is also available: Business Statistics 6e, Updated.
Course in Business Statistics, A, 4/E
Groebner, Shannon, Fry & Smith
©2006 | Prentice Hall | Cloth; 688 pp | Instock
ISBN-10: 0131536877 | ISBN-13: 9780131536876
Buy from myPearsonStore

Course in Business Statistics, A |
Author Bios

PATRICK W. SHANNON, PH.D. is Professor of Production and Operations Management in the College of Business and Economics at Boise State University. He teaches graduate and undergraduate courses in business statistics, quality management, and production and operations management. In addition, Dr. Shannon has lectured and consulted in the statistical analysis and quality management areas for over 20 years. Listed among his consulting clients are Boise Cascade Corporation, Hewlett-Packard; PowerBar, Inc.; Potlatch Corporation; Woodgrain Millwork, Inc.; J.R. Simplot Company; Zilog Corporation; and numerous other public- and private-sector organizations. Professor Shannon has co-authored several university-level textbooks and has published numerous articles in such journals as Business Horizons, Interfaces, Journal of Simulation, Journal of Production and Inventory Control, Quality Progress, and Journal of Marketing Research. He obtained B.S. and M.S. degrees from the University of Montana and a Ph.D. in Statistics and Quantitative Methods from the University of Oregon.

DAVID F. GROEBNER is a Professor of Production Management and Chairman of the Department of Computer Information Systems and Production Management at Boise State University. He has bachelor's and master's degrees in Engineering and a Ph.D. in Business Administration. After working as an engineer, he has taught statistics and related subjects for 27 years. In addition to writing textbooks and academic papers, he has worked extensively with both small and large organizations, including Hewlett-Packard, Boise Cascade, Albertson's, and Ore-Ida. He has worked with numerous government agencies, including Boise City and the U.S. Air Force.

PHILLIP C. FRY is an Associate Professor in the Department of Computer Information Systems and Production Management in the College of Business and Economics at Boise State University, where he has taught since 1988. Phil received his B.A. and M.B.A degrees from the University of Arkansas, and his M.S. and Ph.D. degrees from Louisiana State University. His teaching and research interests are in the areas of business statistics, production management, and quantitative business modeling. In addition to his academic responsibilities, Phil has consulted with and provided training to small and large organizations, including Boise Cascade Corporation; Hewlett-Packard Corporation; The J.R. Simplot Company; United Water of Idaho; Woodgrain Millwork, Inc.; Boise City; and Micron Electronics.

Phil spends most of his free time with his wife Susan, to whom he has been married for 18 years, and his four children, Phillip Alexander, age 8, Alejandra Johanna, age 7, and twins, Courtney Rene and Candace Marie, age 1.

KENT D. SMITH received a Ph.D. in Applied Statistics from the University of California, Riverside in 1981. He holds a Master of Science degree in Statistics from the University of California, Riverside and a Master of Science degree in Systems Analysis from the Air Force Institute of Technology. His Bachelor of Arts degree in Mathematics was obtained from the University of Utah. Dr. Smith has served as a University Statistical Consultant at the University of California, Riverside and at California Polytechnic State University, San Luis Obispo. While at the University of California, he served as a consultant for the Biometrical Services Unit of the Biometrical Project at the University of California, Riverside. His private consulting has ranged from serving as an expert witness in legal cases, survey sampling for corporations and private researchers, medical and orthodontic research, and assisting graduate students with analysis required for master and doctoral degrees in various disciplines.

Dr. Smith began teaching as a part-time lecturer at the California State University, San Bernardino. While completing his doctoral dissertation, he served as a lecturer at the University of California, Riverside. Currently, he is a Professor of Statistics at the California Polytechnic State University, San Luis Obispo, one of the minority of universities that offer an undergraduate degree in statistics. The subjects he teaches include upper-division courses in regression, analysis of variance, nonparametrics, linear models, and probability and mathematical statistics, as well as a full array of service courses.

MYPHLIP/Companion Website - Shannon, 3/E
Groebner
©2002 | Prentice Hall | On-line Supplement; 0 pp | Estimated Availability : 06/20/2002
ISBN-10: 0130936960 | ISBN-13: 9780130936967
URL: http://www.prenhall.com/shannon

Instructor's CD, 3/E
Groebner
©2002 | Prentice Hall | CD-ROM Only | Estimated Availability : 10/01/2001
ISBN-10: 0130936944 | ISBN-13: 9780130936943

CC with eBook Standalone Access Code Card, 3/E
Shannon
©2002 | Prentice Hall | Kit/Package/ShrinkWrap | Not Yet Published
ISBN-10: 013141142X | ISBN-13: 9780131411425

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