Applying and Interpreting Statistics: A Comprehensive Guide / Edition 2

Applying and Interpreting Statistics: A Comprehensive Guide / Edition 2

by Glen McPherson
     
 

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… See more details below

Overview

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.

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Product Details

ISBN-13:
9781441928795
Publisher:
Springer New York
Publication date:
05/26/2011
Series:
Springer Texts in Statistics Series
Edition description:
Softcover reprint of hardcover 2nd ed. 2001
Pages:
641
Product dimensions:
6.14(w) x 9.21(h) x 1.35(d)

Table of Contents

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

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