Roughly speaking there are three types of statistics books for people with background in exact sciences. There are books that require as a background only a good Calculus course (single and multivariable), among those books we have the books of Wackerly-Mendehall-Scheaffer (Mathematical statistics with applications) , Rice (Mathematical statistics and data analysis), Ramachandran &amp; Tsokos (Mathematical statistics with applications) etc.<br><br>On the other hand we have books that require, in addition to Calculus, certain mathematical maturity that can be obtained in a variety of way such as taking an elementary course in mathematical analysis. Representative statistics books in that category may be the Casella &amp; Berger and Hogg-McKean-Craig. Beyond those books we have statistics textbooks that require measure theory such as mathematical statistics by Jun Shao or the book of A.A. Borokov.<br><br>I consider that trying to compare books in different categories does not make sense as they are intended to fulfill a different educational role with different  type of students (i.e. do not try to compare this book with Casella &amp; Berger). So I write my review having in mind the scope that this book has.<br><br>The book of Wackerly et al. is an excellent introduction to Statistics for those with a good Calculus background. It provides the necessary background in Probability and a well-chosen selection of classical Statistic topics providing the newcomer with a broad overview of useful statistical techniques. The authors  develop the topics in a logic and well-connected way always giving motivation and very illustrative examples. They use Calculus to provide a basic foundation (as far as possible using only Calculus) of  the techniques presented. They do not follow a black-box approach. The student who covers the topics in this textbook will be well-prepared to apply statistics techniques in his/her own field or persuade more advanced studies in statistics. Definitely this book is a solid first step for those serious students who want to have a solid background in statistics.