Applied Statistics for Economics and Business, ?zdemir

Автор: Doane Название: Applied statistics in business and economics ISBN: 0071108149 ISBN-13(EAN): 9780071108140 Издательство: McGraw-Hill Цена: 21440 T Наличие на складе: Поставка под заказ. 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 it's 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. Doane's 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 University's 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 University's 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 Colorado'Boulder. 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 Teachers'Workshop 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

Автор: Richard A. Johnson, Gouri K. Bhattacharyya Название: Statistics: Principles and Methods, 7th Edition ISBN: 0470904119 ISBN-13(EAN): 9780470904114 Издательство: Wiley Рейтинг: Цена: 176850 T Наличие на складе: Поставка под заказ. Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Автор: Baum Название: An Introduction to Modern Econometrics Using Stata ISBN: 1597180130 ISBN-13(EAN): 9781597180139 Издательство: Taylor&Francis Рейтинг: Цена: 63160 T Наличие на складе: Невозможна поставка. Описание:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.

Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.

Автор: Wonnacott, R.J. Название: Introductory Statistics for Business and Economics ISBN: 047161517X ISBN-13(EAN): 9780471615170 Издательство: Wiley Рейтинг: Цена: 160770 T Наличие на складе: Поставка под заказ. Описание: Designed for students of business, management and economics, this text encourages an understanding of each statistical technique and analytical objective before moving on to formulae, examples and problems. It includes 700 exercises which help to teach applications for statistical techniques.

Автор: Nachtsheim;Neter;Kutner Название: Applied Linear Statistical Models with Student CD ISBN: 0071122214 ISBN-13(EAN): 9780071122214 Издательство: McGraw-Hill Рейтинг: Цена: 46330 T Наличие на складе: Поставка под заказ. Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Автор: Lind Название: Basic statistics for business and economics ISBN: 0071244611 ISBN-13(EAN): 9780071244619 Издательство: McGraw-Hill Цена: 31740 T Наличие на складе: Поставка под заказ. Описание: Basic Statistics for Business and Economics 5e is a derivative of the best-selling STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, 12/e offering the essential topics of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as opposed to technology or programming methods, and the fifth edition continues as a `students' text with increased emphasis on interpretation of data and results.

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