JMP Means Business: Statistical Models for Management

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SAS Institute, 2010 - JMP (Computer file) - 591 pages
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JMP Means Business: Statistical Models for Management, by Josef Schmee and Jane Oppenlander, covers basic methods and models of classical statistics. Designed for business and MBA students, as well as industry professionals who need to use and interpret statistics, JMP Means Business covers data collection, descriptive statistics, distributions, confidence intervals and hypothesis tests, analysis of variance, contingency tables, simple and multiple regression, and exponential smoothing of time series. The easy-to-use format includes verbal and graphical explanations and promotes standard problem-solving techniques, with a limited use of formulas. Examples from business and industry serve to introduce each topic. Each example starts with a problem definition and data requirements, followed by a step-by-step analysis with JMP. Relevant output from this analysis is used to explain each method and to provide the basis for interpretation. Each chapter ends with a summary and a collection of problems for further study. SAS Products and Releases: JMP software: 8.0.2, 8.0.1, 8.0, 7.01, 7.0.2, 7.0 Operating Systems: All

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Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 14
Chapter 16
Chapter 17
Chapter 19

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About the author (2010)

 Josef Schmee is the Kenneth B. Sharpe Professor of Management (emeritus) at Union College in Schenectady, New York. He also worked as Director of the Bureau of Health Management Standards of the New York State Department of Health to develop statistical sa mpling and audit methods for health care institutions. He has been a consultant and teacher for industry and government. Professor Schmee is a Fellow of the American Statistical Association, received the Brumbaugh and Wilcoxon awards from the American Soci ety for Quality, and recently received the President's Teaching Award of Union Graduate College. Professor Schmee, who holds a Ph.D. in Administrative and Engineering Systems from Union College, has published over seventy research papers that have appeared in the Journal of the American Statistical Association, American Statistician, Technometrics, Journal of Quality Technology, Communications in Statistics, Auditing, and CPA Journal, among others.

Jane E. Oppenlander is a Participating Professor at the School of Management and Assistant Professor of Empirical Bioethics in the Union-Mt. Sinai Bioethics Program at Union Graduate College in Schenectady, New York. Jane has 30 years of industrial experie nce with General Electric, Lockheed Martin, and Simmonds Precision. She has consulted and published in the fields of transportation engineering, critical care medicine, educational testing, expert systems, and direct energy conversion. A long-time JMP and SAS user, she received her Ph.D. in Administration and Engineering Systems from Union College and an M.S. in statistics, B.A. in mathematics, and B.S. in education, all from the University of Vermont.

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