Create a flyer for "Statistics for People Who (Think They) Hate Statistics Using R"

“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.”

“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.”

“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!”

“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.”

“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.”

“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.”

“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.”

“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.”

“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.”