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Introductory Statistics Using R
An Easy Approach

- Herschel Knapp - Yeshiva University, USA

**Introductory Statistics Using R: An Easy Approach**is a jargon-free guide to real-world statistics designed to concisely answer three important questions:

*Which statistic should I use?*

*How do I run the analysis? How do I document the results?*Practical examples presented throughout the text with exercises at the end of each chapter build proficiency through hands-on learning. The student website includes datasets, prepared R code for each statistic in the

*R Syntax Guide,*and tutorial videos. As well as learning statistics, with this text students learn how to convert numeric results into clear, publishable documentation.

Finally! A truly straightforward introduction to statistics and R. Writing is approachable, clear, and concise. Students and those interested in getting started with R will find this textbook extremely useful and approachable.

**CUNY-Lehman College**

This is an essential guide for new R instructors and students aiming to proficiently grasp statistical analysis. With its clear, step-by-step approach and practical emphasis on real-world applications, this textbook empowers learners with the necessary skills to navigate statistical analysis in R with confidence. I highly recommend it!

**University of Arkansas at Little Rock**

This book offers a step-by-step guide appropriate for college students new to both statistics and the statistical software R. The author magically guides us through the journey using approachable language, complemented by the activities and exercises that build on each other throughout the textbook. I know this book is the best available introductory research textbook appropriate for my students in Family and Consumer Sciences.

**California State University, Northridge**

I highly appreciate this amazing book. It provides a crucial understanding for students of the importance and application of statistical tools in practice. Part 1: Statistical Foundation sets the book apart, as it uniquely emphasizes the foundational reasons behind using statistical methods, something not commonly found in other texts.

**The University of Texas at Dallas**

An essential guide for learning statistics with R, this book offers clear explanations, practical exercises, and valuable multimedia resources, making complex concepts accessible and engaging for students of all levels.

**Texas A&M University-Commerce**

This text serves not only as a process guide for utilizing R for statistical analyses, but it also contains a very clear presentation of research methods, and the foundational knowledge needed to understand the analyses.

**Southeastern Louisiana University**

This text is a helpful tool for teaching and learning statistics with R.

**Franciscan University of Steubenville**

This is an effective, easy to use textbook that guides students not only through the fundamentals of statistics, but also how to run the analysis and interpret the outputs.

**Westcliff University**

It is rare that a textbook presents both parametric and non-parametric approaches to basic statistics. The information presented in this textbook is accessible and adds the skill of using R to students resumes.

**Columbus State University**