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Directed primarily toward undergraduate business college/university majors, this text also provides practical content to current and aspiring industry professionals. Business Statisticsshows readers how to apply statistical analysis skills to real-world, decision-making problems. It uses a direct approach that consistently presents concepts and techniques in way that benefits readers of all mathematical backgrounds. This text also contains engaging business examples to show the relevance of business statistics in action. 0133098788 / 9780133098785 Business Statistics Plus MyStatLab with Pearson eText -- Access Card Package Package consists of 013302184X / 9780133021844 Business 0133029824 / 9780133029826 MyStatLab with Pearson eText -- Standalone Access Card -- for Business Statistics
David F. Groebner is Professor Emeritus of Production Management in the College of Business and Economics 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.
Patrick W. Shannon, Ph.D. is Dean and Professor of Supply Chain Operations Management in the College of Business and Economics at Boise State University. In addition to his administrative responsibilities, he has taught 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 more than 20 years. 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.
Phillip C. Fry is a professor 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, and his four children, Phillip Alexander, Alejandra Johanna, and twins Courtney Rene and Candace Marie.
Table of Contents
1. The Where, Why, and How of Data Collection
2. Graphs, Charts, and Tables–Describing Your Data
3. Describing Data Using Numerical Measures
1—3. Special Review Section
4. Introduction to Probability
5. Discrete Probability Distributions
6. Introduction to Continuous Probability Distributions
7. Introduction to Sampling Distributions
8. Estimating Single Population Parameters
9. Introduction to Hypothesis Testing
10. Estimation and Hypothesis Testing for Two Population Parameters
11. Hypothesis Tests and Estimation for Population Variances
12. Analysis of Variance
8—12. Special Review Section
13. Goodness-of-Fit Tests and Contingency Analysis
14. Introduction to Linear Regression and Correlation Analysis
15. Multiple Regression Analysis and Model Building
16. Analyzing and Forecasting Time-Series Data
17. Introduction to Nonparametric Statistics
18. Introduction to Quality and Statistical Process Control
Appendix A Random Numbers Table
Appendix B Cumulative Binomial Distribution Table
Appendix C Cumulative 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 x2 for Selected Probabilities
Appendix H F-Distribution Table
Appendix I Distribution of the Studentized Range (q-values)
Appendix J Critical Values of r in the Runs Test
Appendix K Mann-Whitney U Test Probabilities (n 6 9)
Appendix L Mann-Whitney U Test Critical Values (9 … n … 20)
Appendix M Critical Values of T in the Wilcoxon Matched-Pairs Signed-Ranks Test (n … 25)
Appendix N Critical Values dL and dU of the Durbin-Watson Statistic D
Appendix O Lower and Upper Critical Values W of Wilcoxon Signed-Ranks Test
Appendix P Control Chart Factors