This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data-showing code, graphics, and accompanying tabular listings-for all the methods they cover. Complete R scripts for all examples and figures are provided for readers to use as models for their own analyses.
This book can serve as a standalone text for statistics majors at the master's level and for other quantitatively oriented disciplines at the doctoral level, and as a reference book for researchers. Classical concepts and techniques are illustrated with a variety of case studies using both newer graphical tools and traditional tabular displays.
New graphical material includes:
- an expanded chapter on graphics
- a section on graphing Likert Scale Data to build on the importance of rating scales in fields from population studies to psychometrics
- a discussion on design of graphics that will work for readers with color-deficient vision
- an expanded discussion on the design of multi-panel graphics
- expanded and new sections in the discrete bivariate statistics capter on the use of mosaic plots for contingency tables including the nx2x2 tables for which the Mantel-Haenszel-Cochran test is appropriate
- an interactive (using the shiny package) presentation of the graphics for the normal and t-tables that is introduced early and used in many chapters
- ISBN13 9781493979684
- Publish Date 20 March 2019 (first published 1 July 2004)
- Publish Status Active
- Publish Country US
- Imprint Springer-Verlag New York Inc.
- Edition Softcover reprint of the original 2nd ed. 2015
- Format Paperback
- Pages 898
- Language English