100年第2學期-5429 統計學方法 課程資訊
|Ongoing-Part I||20||Homework assignments and class attendence|
|Ongoing-Part II||20||Review quizzes|
|Midterm Exam||25||Pencil-and-Paper test|
Independent thinking is a key component in your development as an excellent researcher. Only part of this development is accomplished in your preparation of a thesis/dissertation. Successful grant writing requires a certain degree of critical thinking, independent thinking, and last but not least, organization. The purpose of this courses are to assist you in this development. We have three specific aims:
� to provide an overview of statistical vocabulary
� to describe statistical methodology and interpretation and
� to introduce statistical computing techniques (SPSS/EXCEL/MINITAB)
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the natural and social sciences to the humanities, government and business. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and are then used to draw inferences about the process or population being studied; this is called inferential statistics. Both descriptive and inferential statistics comprise applied statistics. There is also a discipline called mathematical statistics, which is concerned with the theoretical basis of the subject.
Office HourOffice Hours: W1(7),W3(7), W4(5,6,7) Classroom: M449
1. Field, A. (2009), Discovering Statistics using SPSS, 出版社：華泰文化, 出版日期：2009年07月21日, ISBN：9781847879073.
2. Agresti, A. (2007), An Introduction to Categorical Data Analysis, 2nd edition, John Wiley and Sons, Inc. （華泰文化有限公司代理）
3. Johnson, R.A. and Wichern, D.W. (2007), Applied Multivariate Statistical Analysis, 6th Edition, McGraw-Hill Book Co.( 出版社：雙葉書廊)