厦门大学：《概率论与数理统计 Probability and Statistics for Economists》课程教学资源（教学大纲，主讲：洪永淼）

4.1 Introduction 4.2 Discrete Probability Distributions 4.3 Continuous Probability Distributions 4.4 Conclusion

信阳师范大学：工程管理专业《概率论与数理统计》课程教学大纲

2.1 Random Experiments 2.2 Basic Concepts of Probability 2.3 Review of Set Theory 2.4 Fundamental Probability Laws 2.5 Methods of Counting 2.6 Conditional Probability 2.7 Bayes' Theorem 2.8 Independence 2.9 Conclusion

1.1 General methodology of modern economic research 1.2 Roles of Econometrics 1.3 Illustrative Examples 1.4 Roles of Probability and Statistics

10.1 Introduction 10.2 Empirical Studies and Statistical Inference 10.3 Important Features of Big Data 10.4 Big Data Analysis and Statistics 10.5 Machine Learning and Statistics 10.6 Conclusion

9.1 Introduction to Hypothesis Testing 9.2 Neyman-Pearson Lemma 9.3 Wald Test 9.4 Lagrangian Multiplier (LM) Test 9.5 Likelihood Ratio Test 9.6 Illustrative Examples 9.7 Conclusion

6.1 Population and Random Sample 6.2 Sampling Distribution of Sample Mean 6.3 Sampling Distribution of Sample Variance 6.4 Student’s t-Distribution 6.5 Snedecor's F Distribution 6.6 Sufficient Statistics 6.7 Conclusion

中国社会科学院大学：经济学院《概率论与数理统计》课程教学大纲

中国社会科学院大学：应用经济学院《概率论与数理统计》课程教学大纲