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Applying and Interpreting Statistics

  • Fester Einband
  • 641 Seiten
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This book describes the basis, application, and interpretation of statistics, and presents a wide range of univariate and multivariate statistical methodology. In its first edition it has proved popular across all science and technology based disciplines, including the social sciences, and in areas of commerce. It is used both as a reference on statistical methodology for researchers and technicians, and as a textbook with particular appeal for graduate classes containing students of mixed mathematical and statistical background. The book is developed without the use of calculus, although several self-contained sections containing calculus are included to provide additional insight for readers who have a calculus background.
Based on the author's "Statistics in Scientific Investigation," the book has been extended substantially in the area of multivariate applications and through the expansion of logistic regression and log linear methodology. It presumes readers have access to a statistical computing package and includes guidance on the application of statistical computing packages.
The new edition retains the unique feature of being written from the users' perspective; it connects statistical models and methods to investigative questions and background information, and connects statistical results with interpretations in plain English. In keeping with this approach, methods are grouped by usage rather than by commonality of statistical methodology. Guidance is provided on the choice of appropriate methods. The use of real life examples has been retained and expanded. Using the power of the Internet, expanded reports on the examples are available at a Springer Web site as Word documents. Additionaly, all data sets are available at the Web site as Excel files, and program files and data sets are provided for SAS users and SPSS users. The programs are annotated so users can adapt for their own data sets.
Glen McPherson has had a long career as an acedmic and a consultant in applied statistics. After holding a tenured position for thirty years at The University of Tasmania in Australia, where he developed and directed under-graduate and gradate programs in applied statistics, he resigned to devote more time to book writing and to his consultancy role to government , business, and industry. The practical experience built into the book is drawn from the two thousand consulantcies he has undetaken across virtually all areas in which statistics has an application.

From the reviews of the second edition:


"The author covers a wide variety of applications. Each method is presented in sufficient depth to allow the reader to understand when the method should be usedI also appreciate the author's tendency to refer reader's to earlier sections or chapters for more foundational materials. In conclusion, I feel that this book would be a useful resource and a good text to use in training graduate-level statistical consultants on how to think about the application of statistics from a user's perspective."


"The layout of the book is quite goodIn all things pertaining to format, the author has been consistentAt the end of each example in the book, the report name and name of files holding data and statistical computing programs are provided. As such, even a student of statistics can benefit very much from this book. Although the book is not that big, it contains lots of valuable information. The author has really accomplished showing that statistics should be seen as an integral component of investigation and as a tool for conducting a well-informed post-mortem of data! The author has produces a masterpiece. His book can be used as a reference and as an undergraduate text for a course in statistics for those taking statistics as a service course as well as majors. As a reference manual, it is useful because it contains statistical methods from a wide spectrum starting with univariate statistical methods to multivariate statistical methods. As a student text, it is useful because the design is user friendly and calculus has been played down to some level without loss of directionTo crown it all, the author has achieved what he purposed in his mind. His immense experience in statistical consulting is something to go by. The book itself is a masterpiece and a 'must have' for every practicing statistician."

"Statistical practitioners will find this book useful in many ways: as the basis of a short course on introductory statistical methods as a reference for the practitioner's own use; and as a teaching tool to explain statistical theory and methods to our customers. As a textbook, this book will be especially useful as an introduction for undergraduate students who will be taking additional upper-level courses in the experimental sciences or for graduate students with varied foundations in mathematical statistics." (Jay H. Goodman, Technometrics, Vol. 44 (3), 2002)

In the period since the first edition was published, I have appreciated the corre­ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been invited to contribute to course restructuring and development based on the ap­ proach to learning and applying statistics that underlies this book. In addition, I have taken account of suggestions and criticisms, and I hope that this new edition will address all major concerns. The range of readily accessible statistical methods has greatly expanded over the past decade, particularly with the growing accessibility of comprehensive statisti­ cal computing packages. The approach adopted in this book has anticipated the changes by its emphasis on building understanding and skills in method selection and interpretation of findings. There has been a reduction in computational for­ mulas to reflect the fact that basic statistical analyses are now almost universally undertaken on computers. This has allowed the inclusion of a more general cover­ age of unifying methodology, particularly Generalized linear methodology, which permits users to more accurately match their requirements to statistical models and methods. A major addition is a chapter on the commonly used multivariate methods.

The Importance of Statistics in an Informatin Based World * Data: The Factual Information * Statistical Models: The Experimenter's View * Comparing Model and Data * Probability: A Fundamental Tool of Statistics * Some Widely Used Statistical Models * Some Important Statistics and Their Sampling Distributions * Statistical Analysis: The Statisticians' View * Examining Proportions and Success Rates * Model and Data Checking * Questions About the Average Value * Comparing Two Groups, Treatments or Processes * Comparative Studies, Surveys and Designed Experiments * Comparing More Than Two Treatments or Groups * Comparing Mean Response When There Are Three or More Treatments * Comparing Patterns of Response: Frequency Tables * Studying Relations Between Variables * Prediction and Estimation: The Role of Explanatory Variables * Questions About Variability * Cause and Effect: Statistical Perspectives * Studying Changes in Response Over Time


Titel: Applying and Interpreting Statistics
Untertitel: A Comprehensive Guide
EAN: 9780387951102
ISBN: 978-0-387-95110-2
Format: Fester Einband
Herausgeber: Springer, Berlin
Genre: Mathematik
Anzahl Seiten: 641
Gewicht: 1247g
Größe: H245mm x B245mm
Jahr: 2001
Auflage: 2nd ed.

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