Statistics Using R
Statistics Using R
Daphna Harel, New York University
Sarah Knapp Abramowitz, Drew University, New Jersey
$87.99
USDUsing numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.
- The textbook is suitable for those who do not have a strong background in mathematics
- Perfect for introductory-level learners and allows for curriculum flexibility
- Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R
- Includes, as an online resource, R-code script files for all examples and figures, which students can learn from, adapt, and use in their future data analytic work
- Contains an online R tutorial that introduces readers to data frames and other basic elements of the R architecture
- Provides a CRAN library of datasets and functions that is used throughout the book, online solutions to all end-of-chapter exercises, and a set of PowerPoint slides that can be used as a study guide
Reviews & endorsements
‘… a good, comprehensive textbook in introductory statistics in R. It would be a good resource to teach students without a strong mathematical background about introductory statistics using base R.’ Lauren Kennedy, Economic Record
Product details
August 2020Adobe eBook Reader
9781108622301
0 pages
188 b/w illus. 102 tables
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- Preface
- Acknowledgments
- 1. Introduction
- 2. Examining Univariate Distributions
- 3. Measures of Location, Spread, And Skewness
- 4. Re-Expressing Variables
- 5. Exploring Relationships Between Two Variables
- 6. Simple Linear Regression
- 7. Probability Fundamentals
- 8. Theoretical Probability Models
- 9. The Role of Sampling in Inferential Statistics
- 10. Inferences Involving the Mean of a Single Population When Σ Is Known
- 11. Inferences Involving the Mean When Σ Is Not Known: One- And Two-Sample Designs
- 12. Research Design: Introduction and Overview
- 13. One-Way Analysis Of Variance
- 14. Two-Way Analysis Of Variance
- 15. Correlation And Simple Regression as Inferential Techniques
- 16. An Introduction to Multiple Regression
- 17. Two-Way Interactions in Multiple Regression
- 18. Nonparametric Methods
- Appendix A. Data Set Descriptions
- Appendix B. .R Files and Datasets in R Format
- Appendix C. Statistical Tables
- Appendix D. References
- Appendix E. Solutions to End of Chapter Exercises
- Index.
