Statistics Using R
Statistics Using R
Daphna Harel, New York University
Sarah Knapp Abramowitz, Drew University
$84.99
USDStatistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
- Offers a conceptual approach to topics in data science and analysis, grounded in examples using real data
- Integrates the popular and free R statistical computing software, providing easily editable R files for each chapter
- Links good statistical and data science practice to the analysis of real data in the behavioral, social, and health sciences
Reviews & endorsements
'Statistics Using R is an engaging and accessible introduction to the practice of statistics using the powerful RÂ environment. Readers will benefit from the book's clear, step-by-step demonstrations of statistical techniques and superb sample exercises, which use data and applications often encountered in the real world. Before they know it, users of this text will be confidently using R to analyze and interpret their own data.' Sean P. Corcoran, Vanderbilt University, USA
'Weinberg, Harel, and Abramowitz have created an accessible and example-filled introductory statistics textbook that simultaneously teaches users the basics of R. With interactive tutorials and plenty of opportunities for hands-on learning, students and researchers who are new to statistics and want a modern, comprehensive treatment of the material should start here!' Jennifer Hill, New York University, USA
Product details
November 2023Adobe eBook Reader
9781009400152
0 pages
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- 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
- 19. Accessing Data from Public Use Sources.
