The field of applied statistics focuses on quantitative methods that aid in inferring statistical results and analyzing complex data in a business environment. This course introduces the basic concepts and methods of data science. We will demonstrates basic methods of data analysis, such as t-test, regression, ANOVA, factor analysis, structural equation modelling (SEM), etc.The field of applied statistics focuses on quantitative methods that aid in inferring statistical results and analyzing complex data in a business environment. This course introduces the basic concepts and methods of data science. We will demonstrate basic methods of data analysis, such as t-test , regression, ANOVA, factor analysis, structural equation modeling (SEM), etc.
Required 1: Hair et al. (2006), Multivariate Data Analysis (7th), Prentice Hall
Required 2: 蕭文龍 (2009), 多變量分析最佳入門實用書(第二版)：SPSS+LISREL, 碁峰
Recommended: 邱皓政 (2011)，量化研究與統計分析-SPSS資料分析範例(第五版)，五南
Required 1: Hair et al. (2006), Multivariate Data Analysis (7th), Prentice Hall
Required 2: Xiao Wenlong (2009), The Best Introductory Practical Book on Multivariate Analysis (Second Edition): SPSS+LISREL, Qi Feng
Recommended: Qiu Haozheng (2011), Quantitative Research and Statistical Analysis-SPSS Data Analysis Example (Fifth Edition), Wunan
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 基礎統計與多變量分析（楊老師）基礎統計與多變量分析（楊老師） Basic statistics and multivariate analysis (Teacher Yang) |
50 | 作業10%, 期中考35%, 其他5% |
| 結構方程模式（黃老師）結構方程模式（黃老師） Structural equation model (Teacher Huang) |
50 | 作業與報告30%，上機測驗及期末報告20% |
