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统计学通俗入门好教材 统计学基础-数据建模导向2011 最新版，特别适合没有什么统计基础和背景的同学。仅供下载，lz我赚取微薄论坛币，下载后自用，请勿用作其他商业用途。
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Preface：
eaching the fundamental concepts and ideas of statistics is a relatively easy task when students have already completed courses in probability theory and calculus. Such students not only come well-prepared to an introductory statistics course, they are likely to follow additional, more advanced courses in mathematics and related areas. If so, many of the statistical techniques acquired remain relevant and are developed by further training.
For students without much of a background in probability or calculus, the situation is quite different. For many of us, just about everything is new, from integration to probability density functions, and from slopes of regression lines to random variables. Traditionally, introductory statistics courses targeting students from the arts and social sciences seek to explain the basic concepts and results of mathematical statistics, while omitting proofs. To survive such a course, one typically dutifully memorizes the equation for the density of the normal curve, the definition of the central limit theorem, and the sums of squares of a one-way analysis of variance. Once through this bottleneck, there is the safe haven of menu-driven software packages that will calculate everything one needs (and more). Sadly enough, many students will not come to appreciate the beauty of the fundamentals of statistics, and they will also remain somewhat insecure about what the basic concepts actually mean.
The approach taken by Shravan Vasishth and Michael Broe provides a much more interesting, exciting, and I believe lasting learning experience for students in the social sciences and the arts. (In fact, I believe that students in the sciences will also enjoy lots of the R code in this book). Simulation is a wonderful way of demystifying concepts and techniques that would otherwise remain abstract and distant. By playing around with simulated data, the reader can quickly get an intuitive feel for basic concepts such as the sampling distribution of the sample mean.…………
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