Ebook: Applying and Interpreting Statistics: A Comprehensive Guide

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.

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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.

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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.
Content:
Front Matter....Pages i-xxviii
The Importance of Statistics in an Information-Based World....Pages 1-34
Data: The Factual Information....Pages 35-45
Statistical Models: The Experimenter’s View....Pages 46-58
Comparing Model and Data....Pages 59-71
Probability: A Fundamental Tool of Statistics....Pages 72-95
Some Widely Used Statistical Models....Pages 96-115
Some Important Statistics and Their Sampling Distributions....Pages 116-144
Statistical Analysis: The Statistician’s View....Pages 145-173
Examining Proportions and Success Rates....Pages 174-190
Model and Data Checking....Pages 191-217
Questions About the “Average” Value....Pages 218-232
Comparing Two Groups, Treatments, or Processes....Pages 233-281
Comparative Studies, Surveys, and Designed Experiments....Pages 282-325
Comparing More Than Two Treatments or Groups....Pages 326-358
Comparing Mean Response When There Are Three or More Treatments....Pages 359-423
Comparing Patterns of Response: Frequency Tables....Pages 424-448
Studying Relations Between Variables....Pages 449-511
Prediction and Estimation: The Role of Explanatory Variables....Pages 512-565
Questions About Variability....Pages 566-585
Cause and Effect: Statistical Perspectives....Pages 586-592
Back Matter....Pages 613-641
Studying Changes in Response over Time....Pages 593-612

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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.
Content:
Front Matter....Pages i-xxviii
The Importance of Statistics in an Information-Based World....Pages 1-34
Data: The Factual Information....Pages 35-45
Statistical Models: The Experimenter’s View....Pages 46-58
Comparing Model and Data....Pages 59-71
Probability: A Fundamental Tool of Statistics....Pages 72-95
Some Widely Used Statistical Models....Pages 96-115
Some Important Statistics and Their Sampling Distributions....Pages 116-144
Statistical Analysis: The Statistician’s View....Pages 145-173
Examining Proportions and Success Rates....Pages 174-190
Model and Data Checking....Pages 191-217
Questions About the “Average” Value....Pages 218-232
Comparing Two Groups, Treatments, or Processes....Pages 233-281
Comparative Studies, Surveys, and Designed Experiments....Pages 282-325
Comparing More Than Two Treatments or Groups....Pages 326-358
Comparing Mean Response When There Are Three or More Treatments....Pages 359-423
Comparing Patterns of Response: Frequency Tables....Pages 424-448
Studying Relations Between Variables....Pages 449-511
Prediction and Estimation: The Role of Explanatory Variables....Pages 512-565
Questions About Variability....Pages 566-585
Cause and Effect: Statistical Perspectives....Pages 586-592
Back Matter....Pages 613-641
Studying Changes in Response over Time....Pages 593-612
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