 §6.1 随机样本  §6.2 直方图和箱线图  §6.3 抽样分布

西安电子科技大学：《概率论与数理统计》课程教学资源（PPT课件讲稿）第五章 大数定律及中心极限定理

 §4.1 数学期望  §4.2 方差  §4.3 协方差及相关系数  §4.4 矩、协方差矩阵

北方工业大学：《概率论与数理统计》课程教学资源（PPT课件讲稿）第五章 大数定律及中心极限定理

•随机向量及其概率分布 •随机向量的联合分布函数 •随机变量函数的分布

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

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

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