The unified theory of statistics is the theoretical basis for global Internet integration

Descartes proposed the concept of variable in the 17th century, followed by the emergence of mainstream mathematics such as function, function theory, equations, calculus, etc., which brought a new industrial revolution to the West; in the 1930s, scholars of the former Soviet Union put forward the concept of random variable. Successively, the rise of probability theory, mathematical statistics, information theory, system theory, cybernetics and other disciplines introduced the world to the era of high technology; in 2006, Prof. Wang Jianding for the first time found that the difference between variables, random variables, links, and the relationship between mutual transformation, thus proposing a unified theory of statistics. This theory is the theoretical basis for the integration of the global Internet, because the free flow of information in the Internet is accomplished through the change of their carriers, variables and random variables, as well as their mutual transformation.

Can statistics be linked to big data?

Already on the question is the basic concept of statistics is not clear: some scholars think that the era of big data statistics is outdated; in fact: this is a kind of error doctrine, is a big hoo-hoo. The big data is the data flow is a little bigger, just from the data extended to the information, and did not exceed the scope of the statistical description; that is, the Internet, computers, Apple phones, children's cell phones shake ah shake, little girls chat ah chat, handsome keyboard knock ah knock, these data, information, information, pictures to the white clouds like floating ah floating, floating to the space in an instant to form a huge tens of trillions of data clouds. Finally, these data streams we use computers through statistical experts and scholars plus have been sorted out, analyzed; this presents a new challenge to statisticians.

Statistics is a comprehensive science that searches, organizes, analyzes, and describes data in order to infer the nature of the object being measured, and even to predict its future. It uses a great deal of specialized knowledge in mathematics and other disciplines, and its scope of use covers almost all areas of the social and natural sciences.

Statistics is the master of all sciences.