統計學(二)
Statistics (II)
| 節 | 週一 | 週三 |
|---|---|---|
2 09:00–09:50 | 統計學(二) A316（光復） | |
3 10:10–11:00 | 統計學(二) A316（光復） 2 節連堂 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
運用在統計學(一)所學統計思考架構及統計推論基礎,繼續學習假設檢定及視實際資料特性而定的統計分析方法,如: 小樣本統計推論、變異數分析、迴歸分析、類別資料分析、及無母數分析。
微積分(一),統計學(一)
無備註
.各班授課內容至少包含以下內容,其他章節範圍視各班授課進度進行補充。 .教師授課,助教輔導演習
.學期作業: 依照進度定期公佈 .考試狀況: 二次期中考(本課程第二次期中考為共同統一考試,其餘兩次由各班授課老師自行出題, 第二次期中考範圍於學期開始後宣布)、一次期末考。小考(由各授課老師決定)。 .評量方法: 三次考試共80% (共同考試佔30%),作業及小考20%
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：
- 8
The Analysis of Variance (Ch11)
1. The design of an Experiment 2. The Completely Randomized Design 3. The Randomized Block Design 4. The axb Factorial Experiment
- 講授：
- 8
Linear Regression and Correlation (Ch 12)
1. A Simple Linear Probabilistic Model and Least Squares Estimation 2. Testing the Usefulness and Diagnostics of the Linear Regression Model 3. Estimation and Prediction Using the Fitted Line
- 講授：
- 9
Multiple Regression Analysis (Ch 13)
1. The Multiple Regression Model and Analysis 2. Testing Sets of Regression Coefficients
- 講授：
- 3
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：
- 7
Nonparametric Statistics
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 F-Test for RBD 6. Rank Correlation Coefficient
- 講授：
- 6
| 週次 | 主題 |
|---|---|
| 第 1 週 | 2/22(週四)開學 |
| 第 2 週 | Hypothesis Tests—10.1-10.4 2/26, 2/28(放假) |
| 第 3 週 | Hypothesis Tests—10.5 3/5, 3/7 |
| 第 4 週 | Hypothesis Tests—10.6-10.8 3/12, 3/14 |
| 第 5 週 | Analysis of Variance--11.1-11.6 3/19, 3/21 |
| 第 6 週 | Analysis of Variance---11.7-11.9 3/26, 3/28 |
| 第 7 週 | 4/2(週一)第一次期中考 4/2, 4/4(春假) |
| 第 8 週 | Analysis of Variance--11.10-11.11 4/9, 4/11 |
| 第 9 週 | Simple Linear Regression—12.1-12.3 4/16, 4/18 |
| 第 10 週 | Simple Linear Regression—12.4-12.6 4/23, 4/25 |
| 第 11 週 | Simple Linear Regression—12.7-12.8 4/30, 5/2 |
| 第 12 週 | Multiple Linear Regression—13.1-13.3, 13.6 5/7, 5/9 |
| 第 13 週 | 5/14(週一)第二次期中考 Analysis of Categorical Data—14.1-14.2 5/14, 5/16 |
| 第 14 週 | Analysis of Categorical Data—14.3-14.5 5/21, 5/23 |
| 第 15 週 | Analysis of Categorical Data—14.6-14.7 5/28, 5/30 |
| 第 16 週 | Nonparametric Statistics—15.1-15.5 6/4, 6/6 |
| 第 17 週 | Nonparametric Statistics—15.6-15.8 6/11, 6/13 |
| 第 18 週 | 6/20(週三)期末考(8:00AM – 10:00AM) 6/18 (端午節), 6/20 |
Introduction to Probability and Statistics, W. Mendenhall, R. Beaver, and B. Beaver. 14th Edition 2013 by Brooks/Cole Inc.
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