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Introduction to Statistics and Data Analysis by Christian Heumann, Michael Schomaker, Shalabh 1st ed. 2016 "Introduction to Statistics and Data Analysis" by Christian Heumann, Michael Schomaker, and Shalabh is a textbook that aims to provide a comprehensive introduction to statistical concepts and methods. Here are some key points based on general feedback: Extensive Coverage: The book is renowned for its thorough examination of statistical subjects. Typically, it covers basic statistical ideas, data analysis strategies, and statistical approaches that are frequently applied in diverse domains. Clear and Accessible Language: Readers frequently compliment the book on its use of clear and accessible language. The writers try to make difficult statistical ideas clear to those who are not familiar with the field. Real-World Examples: Throughout the book, there are several instances and applications from the real world. This makes learning more interesting and applicable by a

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Introductory Statistics with R by Peter Dalgaard 2nd Edition (2008) From the reviews: "…extensive, well organized, and well documented…The book is an elegant R companion, suitable for the statistically initiated who want to program their own analyses. For experienced statisticians and data analysts, the book provides a good overview of the basic statistical analysis capabilities of R and presumably prepares readers for later migration to S…The format of this compact book is attractive…The book makes excellent use of fonts and intersperses graphics near the codes that produced them. Output from each procedure is dissected line by line to link R code with the computed result…I can recommend [this book] to its target audience. The author provides an excellent overview of R. I found the wealth of clear examples educational and a practical way to preview both R and S." "The scope of the book, introductory statistics, is a very useful set of methods in parametric and