Applied Statistics: From Bivariate Through Multivariate Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistics: From Bivariate Through Multivariate Techniques write by Rebecca M. Warner. This book was released on 2013. Applied Statistics: From Bivariate Through Multivariate Techniques available in PDF, EPUB and Kindle. 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.
Applied Statistics
Applied Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistics write by Rebecca M. Warner. This book was released on 2012-04-10. Applied Statistics available in PDF, EPUB and Kindle. 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.
Applied Statistics
Applied Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistics write by Rebecca M. Warner. This book was released on 2012-04-10. Applied Statistics available in PDF, EPUB and Kindle. 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.
Applied Statistics I
Applied Statistics I - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistics I write by Rebecca M. Warner. This book was released on 2020-01-14. Applied Statistics I available in PDF, EPUB and Kindle. Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the original book. The author′s contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website. Bundle and Save Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I Bundle ISBN: 978-1-0718-1325-6
Applied Statistics and Multivariate Data Analysis for Business and Economics
Applied Statistics and Multivariate Data Analysis for Business and Economics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistics and Multivariate Data Analysis for Business and Economics write by Thomas Cleff. This book was released on 2019-07-10. Applied Statistics and Multivariate Data Analysis for Business and Economics available in PDF, EPUB and Kindle. This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.
