Understanding and Applying Basic Statistical Methods Using R, (PDF) exceptionally bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the ebook features modern insights and advances relevant to fundamental techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature.
Featuring a guide to R, the ebook uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems linked with classic techniques. Thoroughly classroom tested, the ebook includes sections that emphasize either R programming or computational details to help the reader become acquainted with fundamental concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes:
- A companion website with the data and solutions to all of the exercises
- Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives
- Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R
- Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data
Understanding and Applying Basic Statistical Methods Using R is a perfect textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The ebook can also serve as a reference for professional statisticians and other practitioners looking to better comprehend modern statistical methods as well as R programming.
NOTE: The product includes the ebook, Understanding and Applying Basic Statistical Methods Using R in PDF. No access codes are included.