Many students complain that statistics is too difficult to learn, and some people mention that they have studied statistics for many years during their studies, but when they encounter practical problems, they are never able to start and do not know how to analyze them. Many people have asked me: how should I study statistics? Why is it that when you see the data, you know where to start, and I can't? Everyone wants to know a trick to learning. But my answers often disappoint them, and I say that I don't really have any tricks, it's just that I use other people's coffee and shopping time to study. It sounds pretentious, but it's all true.
While I spent my weekends shopping and watching movies, I spent my days in my graduate office researching and understanding the obscure language of statistics textbooks, word by word, and then entering data on a very slow 586 computer (which I don't think anyone had used) to watch the results change and verify my understanding. It sounded boring, but I was immersed in it and having fun. In retrospect, it was this kind of learning at that time that laid a solid foundation for my future application.
In addition to reading books and thinking, data practice is a good way to integrate knowledge. You can set and modify the data, observe the changes in the results, and then understand the correlation between the methods. Because you can't learn a lot of content from textbooks, you can only find out on your own. Once you've figured out the rules, there's a lot more to gain than reading textbooks.
Statistics is difficult for beginners, but it is by no means difficult to master. Statistics does not focus on calculation (no matter how strong your computing power is, can it compare to a computer), but on understanding, especially in the current era of advanced statistical software. To learn statistics, you need to think with an understanding and not rote memorization. At the beginning of learning, you can try to understand the conditions and scope of use of various methods, and then use statistical software to practice more in practice, and slowly explore, and gradually form your own thinking and system.
Beginner statistics, as said in martial arts novels, need to be learned one move at a time, which may seem more rigid at this time, but it is necessary at the beginning. After reaching a certain level, you can be integrated, just like Dugu Nine Swords, with "no moves" to win "have moves", all kinds of moves are integrated, no need to stick to a certain move, but according to the data situation flexible adaptation. All kinds of methods exist in the brain, and it is easy to come to the simplest way to draw the most reasonable conclusions.
To learn statistics, we must distinguish between statistical ideas and software operations. The idea of statistical analysis always comes first, and the operation of statistical software comes second. Remember, the software only does the calculations for you, and the analysis is up to you. Someone told me before that he had developed a statistical software that would automatically look for statistical methods as soon as data was entered. Maybe in the future, with the development of science and technology, computers will become conscious, and such software will appear. However, I can quite responsibly say that there is absolutely no such statistical software right now. You must know that the choice of statistical method is your business, and the calculation after selecting the method is the computer's business.
Nowadays, many students and even teachers have a wrong idea, thinking that the deeper the method used, the more it can show the level. Some tutors even require students to use the so-called "advanced" method, which is a very wrong idea. The supreme state of statistics lies in using simple methods to achieve complex analysis, and explaining complex methods in simple language, which is the real master of statistics. The role of statistics lies in application, and blindly pursuing profundity will inevitably be divorced from reality, making statistics more and more distant from the public.
"Vernacular Statistics" tries to explain statistical methods in simple language, so that as many people as possible can understand statistics. Statistics should not only be the preserve of statistical professionals, but should also be a thinking and method mastered by all professionals.
The book is divided into two parts: the basics and the practical.
The basic chapter introduces the common concepts in statistics, and the practical chapter focuses on introducing the ideas and implementation of various methods, which is suitable for beginners to get started quickly, and also suitable for people who have learned statistics to further integrate knowledge, so it is definitely an indispensable book for statistical learning.
This book is an entertaining and educational book, and he does not introduce statistical methods in heavy and rigid language like a textbook, but explains it in witty and simple words; It doesn't necessarily have a lot of content, but it does go as deep as possible.
There are not many such books in China, and this "Vernacular Statistics" is a book that combines humorous language and scientific rigorous thinking.
Who is suitable to read this book
If you have no foundation in statistics, then it should not be a problem to read the first half of the content, but you may need to put some thought into the statistical methods of the second half, because you still need a certain statistical foundation to learn the second half of the content.
Therefore, this book is mainly suitable for the following readers:
- I just got into statistics, and I listened to a few classes with the teacher, but my mind was still a mess of people.
- Those who have studied statistics, but are not clear about the relationship between various methods, and want to further integrate them.
- People who have studied statistics in class, but don't know how to start when they encounter actual data, and want to understand the idea of data analysis.
- People who have learned statistics well, but are a bit of a discerning person who doesn't really understand some concepts.
- People who know a little bit of data analysis, but are prone to confusion in front of actual data, and want to learn data analysis skills.
- People who use simple statistical software (such as SPSS), but click on the menu but don't know what the options in it mean, don't know how to check them, and don't know how to interpret the results.
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If a book does not have the author's own opinion, but is just a stack of knowledge, then this kind of book is not of much value. Especially in the current era of developed networks, almost any concept and knowledge point can be found on the Internet. But there is one thing that is difficult for you to find, and that is the idea and perspective of statistical analysis. In this book, you can get these ideas and perspectives. Although these views may not be shared by everyone, they usually work in practice, based on the author's years of analytical experience.
Nearly 300 pages of full-color printing, the price is only more than 30 yuan
For everyone to apply to the official discount of the publishing house, put it down, click to buy it directly