98年第1學期-5429 統計學方法 課程資訊
|Ongoing includes short assignments, homework, and class participation||50||平常成績, 包括課程討論, 課前預習,課後溫習, 資料分析案例研討|
We have three specific aims:
� to provide an overview of statistical vocabulary
� to describe statistical methodology and interpretation and
� to introduce statistical computing techniques (EXCEL/ MINITAB/ SPSS)
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.
In applying statistics to a scientific, industrial, or societal problem, one begins with a process or population to be studied. Data are collected about the sample in an observational or experimental setting. The data are then subjected to statistical analysis, which serves two related purposes: description and inference.
�escriptive statistics can be used to summarize the data, either numerically or graphically,
Office HourOffice hours: 9:00—11:00, Thursday/9:00—11:00, Friday Office: M449 (新管院大樓)
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. 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)
3. Agresti, A. (2007), An Introduction to Categorical Data Analysis, 2nd edition, John Wiley & Sons, Inc. ( 出版社：華泰文化)