統計學(二)
Statistics (II)
| 節 | 週一 |
|---|---|
2 09:00–09:50 | 統計學(二) M205（光復） 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
Course Descriptions and Objectives: Based on the concepts and inference foundations in Statistics(I), continuously learning hypothesis testing and statistical analysis techniques for various data characteristics, such as small-sample statistical inference, variance analysis, regression analysis, categorical data analysis and nonparametric statistics.
Calculus and Statistics(I)
無備註
助教: 潘俞綺,吳旻修。
1. Homework and Assignments: Regularly announced on a weekly base. 2. Exams and Quizzes: Three exams (the second midterm is a joint unified examination). Quizzes are designed by each instructor. 3. Evaluation and Grading Policy: The first midterm (20%), the second midterm (20%), the final exam (20%), homework/quizzes/others (20%), a project (20%) 4. Pedagogy and other supplementary information (websites, TAs, handouts and/or databases): The materials of other chapters are supplemented by each instructor.
Inference from Small Samples (Ch 10)
1. Student's t Distribution 2. Small-Sample Inferences concerning a Population Mean 3. Small-Sample Inferences for the Difference between Two Population Means: Independent Samples 4. Small-Sample Inferences for the Difference between Two Population Means: A Paired-Difference Test 5. Inferences Concerning a Population Variance 6. Comparing Two Population Variances
The Analysis of Variance (Ch11)
1. The Design of an Experiment 2. The Completely Randomized Design 3. The Randomized Block Design 4. Two-Way Classification 5. Revisiting the Analysis of Variance Assumptions
Linear Regression and Correlation (Ch 12)
1. Simple Linear Regression 2. An Analysis of Variance for Linear Regression 3. Testing the Usefulness of the Linear Regression Model 4. Diagnostic Tools for Checking the Regression Assumptions 5. Estimation and Prediction Using the Fitted Line 6. Correlation Analysis
Analysis of Categorical Data (Ch 14)
1. Pearson's Chi-Square Statistic 2. Testing Specified Cell probabilities: The Goodness-of-fit Test 3. Contingency Tables: A Two-Way Classification 4. Comparing Several Multinomial Populations
Nonparametric Statistics(Ch 15)
1. The Wilcoxon Rank Sum Test: Independent Random Samples 2. The Sign Test for a Paired Experiment 3. The WIlcoxon Signed-Rank Test for a Paired Experiment 4. The Kruskal-Wallis H-Test for CRD 5. The Friedman Fr-Test for RBD 6. Rank Correlation Coefficient
| 週次 | 主題 |
|---|---|
| 第 1 週 | Syllabus, Review 2023-02-13(一) |
| 第 2 週 | Hypothesis Tests — 10.1, 10.2 2023-02-20(一) |
| 第 3 週 | 228 Peace Memorial Day, No class. 2023-02-27(一) |
| 第 4 週 | Hypothesis Tests — 10.5, 10.3 2023-03-06(一) |
| 第 5 週 | Hypothesis Tests - 10.6, 10.4 2023-03-13(一) |
| 第 6 週 | Exam 1 2023-03-20(一) |
| 第 7 週 | Analysis of Variance — 11.1 ~ 11.3 2023-03-27(一) |
| 第 8 週 | 4/4 Spring Break, No class. 2023-04-03(一) |
| 第 9 週 | Analysis of Variance — 11.4 ~ 11.5. Tuckey's method 2023-04-10(一) |
| 第 10 週 | Simple Linear Regression — 12.1 ~ 12.3 2023-04-17(一) |
| 第 11 週 | Simple Linear Regression — 12.4 ~ 12.6 2023-04-24(一) |
| 第 12 週 | Exam 2 (ANOVA & Simple/Multiple Regression) 2023-05-01(一) |
| 第 13 週 | Analysis of Categorical Data — 14.1 ~ 14.3 2023-05-08(一) |
| 第 14 週 | Nonparametric Statistics — 15.1 ~ 15.5 2023-05-15(一) |
| 第 15 週 | Nonparametric Statistics — 15.6 ~ 15.7 2023-05-22(一) |
| 第 16 週 | Exam 3 (Categorical Data & Nonparametric Statistics) 2023-05-29(一) |
| 第 17 週 | Discussions by appointment 2023-06-05(一) |
| 第 18 週 | Discussions by appointment 2023-06-12(一) |
Mendenhall, Beaver, and Beaver (2020) Introduction to Probability and Statistics, Metric Version 15th Edition, Cengage.
- 地點
- by appointment
- 時間
- by appointment
- 聯絡方式
- Email to venteng@gmail.com