Relations Transformations And Statistics
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Dictionary of Statistics & Methodology
In this newly updated Fourth Edition, new terms are defined, new synonyms are included, and both are illustrated with new graphics. Growth in the fields of statistics and methodology has mandated these inclusions. The number of definitions and illustrations has grown from about 2,400 in the third edition to about 2,800 in this one, an increase of around 16 percent. While some entries have been shortened and obsolete ones have been deleted, which helped make room for the new entries, comparatively few terms from the earlier editions have been deleted. The importance of classic terms persists even as new techniques and the terms describing them are invented. Finally, the suggestions for further reading have been updated and a new section on Useful Websites on Statistics and Methodology has been added.
Applied Statistics: From Bivariate Through Multivariate Techniques
Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
Statistics
Author: Goteti Bala Krishnamurty
language: en
Publisher: Jones & Bartlett Learning
Release Date: 1995
This textbook is intended for use in introductory biostatistics courses for health science, nursing, and biology students. It deals with research designs used for collecting data, methods for summarizing data, and testing hypotheses in health and related fields. The emphasis is on illustrating how statistics are generated and used by practitioners in health fields and interpreting crucial aspects of journal articles. Concepts are stressed rather than the usual computational methods. Every major concept is accompanied by an exercise and correct answers, and these form an integral part of the text.