Doane Applied statistics in business and economics 9780071108140

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Автор: Doane
Название: Applied statistics in business and economics
Перевод названия: Прикладная статистика в бизнесе и экономике
ISBN: 9780071108140
Издательство: McGraw-Hill
Классификация:

Вероятность и статистика

ISBN-10: 0071108149
Обложка/Формат: Paperback
Вес: 0.00 кг.
Дата издания: February 1, 2006
Поставляется из: Англии
Описание: This new text offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction. Modern computing tools and applications are introduced, and the text maintains a strong focus on presenting statistical concepts as applied in business --as opposed to providing programming methods used to find a mathematical solution. Interpretation is heavily emphasized, enabling students to take full advantage of Excel to develop and drive problem-solving skills. Key Features Applied Statistics in Business and Economics covers all the basic topics in the standard Business Statistics course, both undergraduate and MBA, using real and realistic data sets and modern technology. Benefit : Students are studying statistics in the same environment in which they can apply it. Visual Statistics, Learning Stats, and MegaStat are integrated within the text and included in the package. Benefit : Because the text package supports these more practical applications of statistics, instructors can -at their option, provide an enriched selection of topics, without math and theory holding the class back. Examples, minicases, exercies are almost completely from published research or real applications. Two key example data sets are a health care management data and a midwest bank collection on Automated teller machines. Benefit : The complete selection of examples and application mirror the current business environment. Students using this text are quite likely to be involved immediately in analysis very much like those used in the text. Exercises are included both at the end of sections, and at the ends of chapters. There are plenty of examples within the chapters, and virtually all of these are available in a technology form on CD. The exercises often include encouragement of experimentation and alternative analysis. Benefit : Because the text and exercises are integrated with techology, this more realistic approach provides students with a better understanding of the applicability of statistics, and more experience in doing analysis. Though nearly 800 pages in length- the text is concise in its treatment. Much of the length is due to the high frequency of graphic illustrations and instructional screen shots of Excel and MegaStat for Excel. The text is decidedly non-mathematical- in both look and feel and in substance. All but the simplest proofs and derivations are eliminated. Benefit : Students who are frightened or intimidated by mathematics or by technical notation in textbooks will not have that reaction to this text. The text integrates many real world data sets, including two large sets featuring health care management and banking/financial data. Benefit : Many texts use real world material from previously published popular press sources, and many use manufacturing, marketing, and economic data. Doanes use of data, particularly these two original data sets, more accurately matches the state of industry today, with health care and financial services assuming a much larger role. The treatment of confidence intervals and inference emphasizes proportions because they are more important in business applications. The text also thoroughly integrates p-value interpretations of all tests. Benefit : Students have a modern treatment, appropriate with the prevailing application of technology in statistics today. Hypothesis Testing chapters and all examples are presented following a consistent five step format Benefit : This approach helps students develop a logical and consistent approach in their analysis and understanding of inference. Author Biography David Doane David P. Doane is Professor of Quantitative Methods in Oakland Universitys Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas in 1966 and his PhD from Purdue Universitys Krannert Graduate School in 1969. His research and teaching interests include applied statistics, forecasting, and statistical education. He is co-recipient of three National Science Foundation grants to develop software to teach statistics and to create a computer classroom. He is a long-time member of the American Statistical Association and INFORMS, serving in 2002 as President of the Detroit ASA chapter, where he remains on the board. He has consulted with government, health care organizations, and local firms. He has published articles in many academic journals and is the author of LearningStats (McGraw-Hill, 2003, 2007) and co-author of Visual Statistics (McGraw-Hill, 1997, 2001). Lori Seward Lori E. Seward is a Senior Instructor of Systems in the Leeds School of Business at the University of ColoradoBoulder. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech in 1984 and 1985. After several years working as a reliability and quality engineer in the paper and automotive industries she earned her PhD from Virginia Tech in 1998. She joined the Leeds faculty in 1998. Her teaching interests include applied statistics, quality management, and supply chain management and she has taken the lead in using advanced technology tools for enhancing the classroom and learning experience in large lecture courses. She served as the Chair of the INFORMS TeachersWorkshop for the annual 2004 meeting. Her most recent article was published in The InternationalJournal of Flexible Manufacturing Systems (Kluwer Academic Publishers, 2004). Table of Contents 1: Overview of Statistics 2: Data Collection 3: Describing Data Visually 4: Descriptive Statistics 5: Probability 6: Discrete Distributions 7: Continuous Distributions 8: Sampling Distributions and Estimation 9: Hypothesis Testing: One Sample 10: Hypothesis Testing: Two Sample Tests 11: Analysis of Variance 12: Bivariate Regression 13: Multiple Regression 14: Time Series Analysis 15: Chi-Square Tests 16: Nonparametric Tests 17: Quality Management
Дополнительное описание: Pub Date: FEB-06, Edition: 01 Format: SOFT + CD

Applied statistics in business and economics, Doane