The main examination contents of probability theory and mathematical statistics (economy and management) are in the first four chapters. The first chapter is the basic content of probability theory, mainly understanding random events, classical probability, conditional probability and so on. This chapter should be familiar with these basic contents and corresponding formulas.

From the second chapter of random variables and their probability distribution to the fourth chapter of digital characteristics of random variables, it is mainly the further study of random experiments after introducing random variables.

Here you need to know the definitions of discrete random variables and continuous random variables, the distribution law (or probability density function), the relationship with distribution function, and how to solve the mathematical expectation of random variables.

These can be tested through after-class exercises to see if you have mastered these contents.

From the beginning to the end of the fifth chapter, because there are many data involved, we only need to understand the basic concepts and formulas, and then understand some typical examples.