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“Statistics With R is easily the most accessible and almost fun introduction to statistics and R that I have read. Even the most hesitant student is likely to embrace the material with this text.”
“This is an entertaining and unorthodox text that explains statistical concepts in a way that engages students and rewards them for achievements. As useful to instructors as it is to their students.”
“This text makes the R statistics software accessible to all students by providing excellent examples and step-by-step processes. The student gains mastery over statistical analysis that can be applied to the real world.”
“This is an engaging textbook for learning statistics and R at the same time.”
“Using a simple but engaging style, this textbook relies on three friendly characters to introduce and explore the most common statistical problems students will face in their career. And, as a bonus, students learn how to use and master R for analyzing and illustrating simple and complex data sets.”
“There are many good statistics textbooks on the market- and there are equally good books that teach R; there are very few that do both. This book fills this gap. Students who use this text will benefit not only from having a top-notch stats textbook, but a great resource for how to conduct their analysis in R.”
“Allowing students to see how statistics is actually relevant to them through guided stories is a priceless experience. This text provides cross-cutting skills in R programming that students can take away with them for their CVs/résumés and career development."
“A unique introduction to statistics using characters in a storyline who are themselves learning how to solve real case studies using the R programming language. The first statistics textbook of its kind!”
“This is a wonderful, innovative statistics text that integrates R coding into learning about quantitative methods. The highly engaging lessons walk students through each stage of the analytical process and teach students how to perform a statistical analysis, including the presentation of results in graphical form, using code.”
Too advanced for undergraduate students, probably appropriate for those in research-oriented program.
Required statistical knowledge threshold was met.
Great book for intro to statistics using R from a multidisciplinary perspective. Really enjoyed the clarity used to describe the datasets and the user friendliness in accompany the reader though R coding! Very nice work!
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