This course provides an introduction to the application of statistics to a wide range of fields. It has a practical focus using the statistical package SAS to analyse real data. Topics covered are : basic statistical analysis, regression analysis; design and analysis of experiments; analysis of categorical data;
multivariate analysis; nonparametric analysis and survival analysis.
This course provides an introduction to the application of statistics to a wide range of fields. It has a practical focus using the statistical package SAS to analyze real data. Topics covered are : basic statistical analysis, regression analysis; design and analysis of experiments; analysis of category data;
multivariate analysis; nonparametric analysis and survival analysis.
為求學生明瞭現代統計學在科學研究中所扮演之重要角色，進而藉由統計學方法及實際論文之研讀與習作，培養學生獨力與團隊合作進行科學研究之能力及經驗。課程主要工作包括：
(1)科學研究工作之理念及研究方法講授。
(2)分組完成題目自訂之完整研究報告。包括組織、協調、排程、執行及撰寫報告等工作。
(3)培養訓練蒐集資料能力。包括詢問、上網、查閱書籍與期刊等。
(4)培養訓練當眾口頭報告能力。包括儀態、台風等。
In order to seek students to understand the important role played by modern statistical studies, they can cultivate students' ability and experience in scientific research through the study and practice of statistical methods and practical essays. The main course work includes:
(1) Teaching of concepts and research methods of scientific research work.
(2) Complete research report for the sub-assembly. Including organization, coordination, scheduling, execution and writing reports.
(3) Cultivate training and training to collect data. Including inquiries, online access, searching books and journals, etc.
(4) Cultivate the ability of trainees to report publicly. Including state, Taiwan style, etc.
1. SAS統計軟體與資料分析, 沈葆聖
2. Applied Linear Statistical Models, fifth edition,
Kutner, Nachtsheim, Neter and Li
3. Design of Experiments: Statistical Principles of Research Design and Analysis, second edition,
R. O. Kuehl
4. Categorical Data Analysis, third edition, Alan Agresti
5. Applied Multivariate Statistical Analysis, sixth edition, R. A. Johnson and D. W. Wichern
1. SAS statistical software and data analysis, Shen Baosheng
2. Applied Linear Statistical Models, fifth edition,
Kutner, Nachtsheim, Neter and Li
3. Design of Experiments: Statistical Principles of Research Design and Analysis, second edition,
R. O. Kuehl
4. Categorical Data Analysis, third edition, Alan Agresti
5. Applied Multivariate Statistical Analysis, sixth edition, R. A. Johnson and D. W. Wichern
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| midtermmidterm midterm |
50 | |
| finalfinal Final |
50 |
