Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

XuetangX

Probability and Mathematical Statistics

Yunnan University of Finance and Economics via XuetangX

Overview

Probability and Mathematical Statistics is an important theoretical course for undergraduates majoring in economics and management, and science and engineering in Yunnan University of Finance and Economics. There are more than 3,000 students enrolled in this course every year. The teaching team always adheres to the construction idea of "perfecting the course system, optimizing the knowledge structure, improving the teaching methods, strengthening the ability training and improving the quality of teachers", constantly exploring, paying attention to accumulation, and being brave in innovation. In recent years, based on the course of Probability and Mathematical Statistics, many teaching reforms have been carried out and good results have been achieved. Team teachers have also won a number of national and provincial teaching competition awards.

Syllabus

  • Chapter 1 Random Events and Their Probabilities
    • 1.1 Random Event
    • 1.2 Probability of Random Event
    • 1.3 Classical and Geometric Models of Probability
    • 1.4 Conditional Probability
    • 1.5 Independence of Events
  • Chapter 2 Random Variables and Their Distribution
    • 2.1 Random Variables and Distribution Functions
    • 2.2 Discrete-Type Random Variables and Their Probability Distributions
    • 2.3 Continuous-Type Random Variables and Their Probability Density Functions
    • 2.4 Functions of Random Variables and Their Distributions
    • 2.5 Bivariate Random Variables and Their Distributions
    • 2.6 Conditional Distributions and Independence of Random Variables
  • Chapter 3 Numerical Characteristics of Random Variables
    • 3.1 Mathematical Expectation
    • 3.2 Variance
    • 3.3 Covariance and Correlation Coefficient
    • 3.4 Law of Large Numbers and Central Limit Theorem
  • Chapter 4 Basic Introduction of Mathematical Statistics
    • 4.1 Basic Concepts of Mathematical Statistics
    • 4.2 Commonly Used Statistical
    • 4.3 Sampling Distributions
  • Chapter 5 Parameter Estimation
    • 5.1 Point Estimation
    • 5.2 Evaluation Criteria for Estimators
    • 5.3 Interval Estimation
  • Chapter 6 Hypothesis Testing
    • 6.1 The basic concepts of hypothesis testing
    • 6.2 Hypothesis testing of a mononormal population
    • 6.3 Hypothesis testing of a binormal population
  • Final test questions

    Taught by

    Wang Haiyan , Tan Ying, Shen Shiping, Cao Zhijuan, JIN-Xuan,Yang, Wu Cixuan, Fu Wenyue, and Yongjuan Ma

    Tags

    Reviews

    Start your review of Probability and Mathematical Statistics

    Never Stop Learning.

    Get personalized course recommendations, track subjects and courses with reminders, and more.

    Someone learning on their laptop while sitting on the floor.