統計學(二)
Statistics (II)
| 節 | 週一 |
|---|---|
2 09:00–09:50 | 統計學(二) A316（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
Pedagogy and other supplementary information (websites, TAs, handouts and/or databases): The materials of other chapters are supplemented by each instructor.
1. Homework and Assignments: Regularly announced according to schedule. 2. Exams and Quizzes: Two midterms and one final exam (the second midterm is a joint unified examination). Quizzes are designed by each instructor. 3. Evaluation and Grading Policy: The first midterm (25%), the second midterm (30%), the final exam (25%), homework/quizzes/others (20%)
The Analysis of Variance (Ch11)
1. The Design of an Experiment 2. The Completely Randomized Design 3. The Randomized Block Design
- 講授：
- 6
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
- 講授：
- 9
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
- 講授：
- 6
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
- 講授：
- 9
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
- 講授：
- 12
| 週次 | 主題 |
|---|---|
| 第 1 週 | Hypothesis Tests—10.1~10.2 (t distribution & one mean) 2026-02-23(一) 時數：[2026-02-23]巫佳煌(3.00) |
| 第 2 週 | Hypothesis Tests—10.3~10.4 (Two means & paired means) 2026-03-02(一) 時數：[2026-03-02]巫佳煌(3.00) |
| 第 3 週 | Hypothesis Tests—10.6 (One variance) 2026-03-09(一) 時數：[2026-03-09]巫佳煌(3.00) |
| 第 4 週 | Hypothesis Tests—10.7 (Two variances) 2026-03-16(一) 時數：[2026-03-16]巫佳煌(3.00) |
| 第 5 週 | 3/23(Mon.) 1st Midterm (Ch 10, Hypothesis Tests) 2026-03-23(一) 時數：[2026-03-23]巫佳煌(3.00) |
| 第 6 週 | Analysis of Variance—11.1~11.3 (DOE, CRD Exp., Tukey) 2026-03-30(一) 時數：[2026-03-30]巫佳煌(3.00) |
| 第 7 週 | 4/6 (Mon.) Tomb Sweeping Day, No class. 2026-04-06(一) 時數：[2026-04-06]巫佳煌(3.00) |
| 第 8 週 | Analysis of Variance—11.4 (RCBD) Simple Linear Regression—12.1~12.2 (SLR & ANOVA for Reg) 2026-04-13(一) 時數：[2026-04-13]巫佳煌(3.00) |
| 第 9 週 | Simple Linear Regression—12.3~12.4 (Slope testing, R2, residual plots) 2026-04-20(一) 時數：[2026-04-20]巫佳煌(3.00) |
| 第 10 週 | Simple Linear Regression—12.5~12.6 (CI, PI & Cor. Analysis) 2026-04-27(一) 時數：[2026-04-27]巫佳煌(3.00) |
| 第 11 週 | 5/4 (Mon.) 2nd Midterm (ANOVA & Simple Linear Regression) 2026-05-04(一) 時數：[2026-05-04]巫佳煌(3.00) |
| 第 12 週 | Analysis of Categorical Data—14.1~14.2 (Chi-square test) 2026-05-11(一) 時數：[2026-05-11]巫佳煌(3.00) |
| 第 13 週 | Analysis of Categorical Data—14.3~14.4 (Two-way contingency table) 2026-05-18(一) 時數：[2026-05-18]巫佳煌(3.00) |
| 第 14 週 | Nonparametric Statistics—15.1~15.4 (Rank sum & sign & sign-rank tests) 2026-05-25(一) 時數：[2026-05-25]巫佳煌(3.00) |
| 第 15 週 | Nonparametric Statistics—15.5~15.7 (HW, Friedman & Rank Cor. tests) 2026-06-01(一) 時數：[2026-06-01]巫佳煌(3.00) |
| 第 16 週 | 6/8 (Mon.) Final term (Categorical Data & Nonparametric Statistics) 2026-06-08(一) 時數：[2026-06-08]巫佳煌(3.00) |
Introduction to Probability and Statistics, W. Mendenhall, R. Beaver, and B. Beaver. 15th Edition 2019 by Cengage Learning Inc.
- 地點
- announced by instructor
- 時間
- announced by instructor
- 聯絡方式
- announced by instructor