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: 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: Zi Wenlong (2009), Best Practical Book for Multivariate Analysis (Second Edition): SPSS+LISREL, Qi Feng
Recommended: Qiu Haozheng (2011), Quantitative Research and Statistical Analysis-SPSS Data Analysis Example (Fifth Edition), Wunan