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Download Applied Statistics: From Bivariate Through Multivariate Techniques djvu

by Rebecca M. Warner

Author: Rebecca M. Warner
Subcategory: Mathematics
Language: English
Publisher: SAGE Publications, Inc; Second edition (April 10, 2012)
Pages: 1208 pages
Category: Math and Science
Rating: 4.4
Other formats: lrf txt rtf lit

Rebecca M. Warner received a . from Carnegie-Mellon University in Social Relations in 1973 and a P. in Social Psychology from Harvard in 1978

Rebecca M. in Social Psychology from Harvard in 1978. She has taught statistics for more than 25 years: from Introductory and Intermediate Statistics to advanced topics seminars in Multivariate Statistics, Structural Equation Modeling, and Time Series Analysis. She is currently a Full Professor in the Department of Psychology at the University of New Hampshire.

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2nd ed. p. cm. Includes bibliographical references and index. ISBN 978-1-4129-9134-6 (cloth) 1. Social methods.

Warner, Rebecca M. Publication date. Los Angeles : SAGE Publications. Books for People with Print Disabilities. Internet Archive Books. Uploaded by Tracey Gutierres on October 9, 2014. SIMILAR ITEMS (based on metadata).

Students are asked to think about the meaning of equations. Although SPSS examples are used throughout the book the conceptual material will be helpful for users of different programs.

Applied Statistics book. Start by marking Applied Statistics: From Bivariate Through Multivariate Techniques as Want to Read: Want to Read savin. ant to Read.

Request PDF On Apr 1, 2012, Rebecca Warner and others published Applied Statistics: From Bivariate . Book · April 2012 with 1,077 Reads. How we measure 'reads'

Book · April 2012 with 1,077 Reads. How we measure 'reads'.

Rebecca M. Warner (2013). Applied Statistics: From Bivariate Through Multivariate Techniques: From Bivariate Through Multivariate Techniques. 778. ISBN 978-1-4129-9134-6. 54. ISBN 978-1-58488-414-9. This statistics-related article is a stub. php?title Box%27s M test&oldid 920029071". Categories: Multivariate statistics.

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.