週次 |
日期 |
單元主題 |
第1週 |
9/17 |
Introduction to the advanced statistics,Introduction to R |
第2週 |
9/24 |
Chapter 1. Probability 1.1 Basic Concepts 1.2 Properties of Probability 1.3 Methods of Enumeration |
第3週 |
10/01 |
1.3 Methods of Enumeration
1.4 Conditional Probability
1.5 Independent Events |
第4週 |
10/08 |
1.6 Bayes’s Theorem Chapter 2. Discrete Distributions 2.1 Random Variables of the Discrete Type |
第5週 |
10/15 |
2.2 Mathematical Expectation 2.3 The Mean, Variance, and Standard Deviation 2.4 Bernoulli Trials and Binomial Deviation |
第6週 |
10/22 |
小考
2.5 The Moment-Generating Function |
第7週 |
10/29 |
2.6 The Poisson Distribution
Chapter3 Continuous Distributions
3.1 Continuous-Type Data |
第8週 |
11/05 |
3.2 Random Variables of the Continuous Type
3.3 The Uniform and Exponential Distributions |
第9週 |
11/12 |
期中考(1.1 ~ 3.3) |
第10週 |
11/19 |
3.4 The Gamma and Chi-Square Distributions
3.5 Distributions of Functions of a Random Variable |
第11週 |
11/26 |
Chapter 4. Multivariate Distributions
4.1 Distributions of Two Random Variables
4.2 The Correlation Coefficient |
第12週 |
12/03 |
4.3 Conditional Distributions
4.4 Transformations of Random Variables |
第13週 |
12/10 |
4.4 Transformations of Random Variables
4.5 Several Independent Random Variables
|
第14週 |
12/07 |
4.5 Several Independent Random Variables
4.6 Distributions of Sums of Independent Random Variables
|
第15週 |
12/24 |
Chapter 4 The Multivariate Distribution
4.7 Chebyshev’s Inequality
|
第16週 |
12/31 |
5.2 The Normal Distribution
5.3 Random Functions Associated with Normal Distributions |
第17週 |
1/07 |
5.4 The Central Limit Theorem
5.5 Approximations for Discrete Distribution |
第18週 |
1/14 |
期末考 |