Statistics with R

This award-winning guide makes statistics simple.Written by an expert with over 30 years of teaching experience, the book provides readers with a solid foundation in applying statistical methods. It moves steadily, using everyday examples to make concepts clear and understandable, from descriptive statistics and probability to hypothesis tests and regression.This third edition:Equips readers with the critical thinking skills to navigate data with competence and confidence in an AI age.Incorporates the tidyverse, offering students new to programming a straightforward way of learning R.Has been fully revised for conciseness while retaining the author’s warm and approachable style.Providing optional material for students looking to level up their knowledge and packed with features to support learning, such as practice exercises and datasets, this book is the perfect introduction to statistical methods in the social sciences.

Robert Stinerock has more than 30 years of experience teaching statistics and probability to students at both the undergraduate and graduate level. He has taught classes at Columbia, Trinity, Rutgers, Fairleigh Dickinson, the Stevens Institute of Technology, Catolica de Lisboa (Portugal), and the Faculdade de Economia, Universidade Nova de Lisboa (Portugal). Since 2014, he has taught statistics at the Executive MBA program at Baruch College of the City University of New York. He has received several awards for excellence in the classroom: the Stevens Howe School Outstanding Undergraduate Teacher Award; the Stevens Alumni Association Outstanding Teacher Award; and the Fairleigh Dickinson Distinguished Faculty Award for Teaching. He has published numerous research articles in academic journals, most recently in the Journal of Macromarketing, the Journal of Business Research, and Geoforum. He earned his bachelor’s, master’s, and PhD degrees, all from Columbia University. He and his wife, Jyoti, live in New York City.