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 demonstrates basic methods of data analysis, such as t-test, regression, ANOVA, factor analysis, structural equation modelling (SEM), etc.
Required 1: Multivariate Data Analysis (7th), Joseph F. Hair et al., Prentice Hall
Required 2: 量化研究與統計分析-SPSS資料分析範例(第五版)，邱皓政著，五南
Required 1: Multivariate Data Analysis (7th), Joseph F. Hair et al., Prentice Hall
Required 2: Quantitative Research and Statistical Analysis - Examples of SPSS Data Analysis (Fifth Edition), written by Qiu Haozheng, 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5%, 期中考45%, 其他加分2% |
| 結構方程模式（黃老師）結構方程模式（黃老師） Constructed equation pattern (Teacher Huang) |
50 | 作業與報告30%，上機測驗及期末報告20% |
