In layman's eyes, one of the things statisticians often do is to put together a bunch of assorted data, figure out a few inexplicable numbers, and then deduce a seemingly plausible conclusion from these numbers, just as alchemists used "Sage's stone" to turn a heap of stones into gold. The sixth chapter, should be the most abstract chapter of the book, is to introduce the statistics of "sage stone"-the principle of data simplification. From the point of view of information, the sample contains all the information, but the information is too scattered, not to study, must have a simplified sample of the means, scattered in each sample of information gathered together. The aggregation here is a pair of contradictory opposites bodies, that is, sample simplification and loss of information opposites, this chapter from the theoretical height of how to grasp this pair of contradictory opposites body. Here is the mind map of this chapter,
Statistical inference (statistical inference) reading notes-the 6th chapter on the principles of data simplification