# Statistics for People Who (Think They) Hate Statistics Using R

- Neil J. Salkind
- Leslie A. Shaw - Cornell University, USA

Neil J. Salkind’s bestselling *Statistics for People Who (Think They) Hate Statistics *has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS® and Excel® versions are joined by a text for use with the R software, **Statistics for People Who (Think They) Hate Statistics Using R**. New co-author Leslie A. Shaw carries forward Salkind’s signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.

**A Complete Teaching & Learning Package**

**SAGE Premium Video**

**SAGE Premium Video **tools and resources boost comprehension and bolster analysis. Videos include screencast tutorials that demonstrate setting up data and running selected problems in R. **Learn more. **

**SAGE edge**

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### Supplements

**edge.sagepub.com/salkindshaw**

**SAGE edge for instructors**supports your teaching by making it easy to integrate quality content and create a rich learning environment for students with:

- a
**password-protected site**for complete and protected access to all text-specific instructor resources; **R syntax and data files**are available for download and use with exercises in the book;**test banks**that provide a diverse range of ready-to-use options that save you time. You can also easily edit any question and/or insert your own personalized questions;**multimedia content featuring original screencast tutorial videos that demonstrate setting up the data and running selected problems in R**meet the learning needs of today’s media-savvy students and bring concepts to life; and**editable, chapter-specific PowerPoint® slides**that offer complete flexibility for creating a multimedia presentation for your course.

**SAGE edge for students**enhances learning, it’s easy to use, and offers:

- an
**open-access site**that makes it easy for students to maximize their study time, anywhere, anytime; **R syntax and data files**are available for download and use with exercises in the book;**video resources**that bring concepts to life, are tied to learning objectives, and are curated and produced exclusively for this text, featuring:- Screencast tutorial videos demonstrate setting up the data and running selected problems in R

**eFlashcards**that strengthen understanding of key terms and concepts; and**eQuizzes**that allow students to practice and assess how much they’ve learned and where they need to focus their attention.

“Salkind is the master of presenting options for data analysis in a logical, straightforward manner so students are able to focus on the meaning rather than the math of statistics.”

**Delta State University**

“The (late) Dr. Salkind's text continues (with Dr. Shaw's R-integration) to be a readable statistical text that provides a gentle yet surprisingly comprehensive introduction to statistics. For anyone teaching a basic level, introductory level, or first class in statistics, I cannot think of a better text. This R update adds an important element to the Excel and SPSS versions of this inimitable text.”

**Cornerstone University**

“There are many textbooks on R, textbooks on Statistics, and textbooks on R and Statistics that are extremely technical, and difficult to read and use. This textbook is the golden mean!”

**Wayne State University**

“The text makes statistics accessible for even the most ‘math-phobic’ student and ‘demystifies’ the world of R. It is the most comprehensive statistics textbook that walks students through both the mathematical and software steps of doing statistics.”

**University of Texas at El Paso**

“The value of this text is that it presents complex ideas in a way that people can relate to—using examples, walking through steps, and providing all the additional tools needed to succeed in an introduction to statistics course.”

**East Tennessee State University**

“This text is a thorough and effective packaging of statistical analysis and computational techniques in the R language, which would be highly useful to students from a variety of backgrounds.”

**University of North Carolina, Charlotte**

“Salkind and Shaw do an excellent job of presenting difficult statistical concepts and tools in a highly accessible manner. One of the best introductory statistics textbooks available.”

**Southern Illinois University**

“Salkind's book has always been the very best text for introducing my undergraduate students to statistics. Now, it introduces R as well. I will recommend this book to everyone.”

**Brigham Young University, Idaho**

“As with previous editions of this book by Dr. Salkind, this textbook captures the essence of Dr. Salkind's style, talent, and expertise in explaining statistics. Including information and instruction on R software for analysis is a benefit since students can now access a free software program.”

**Ursuline College**

Recommended supplemental text for stats course

**Psychology Dept, Carlos Albizu University**

### Sample Materials & Chapters

2. Here's Why We Love R and How to Get Started

7.Computing Correlation Coefficients: Ice Cream and Crime