Statistical Foundations For Public Administration Policy

AY2020/2021 Semester 2

As an introduction to statistics and quantitative data analysis, this course provides an overview of theoretical foundation of statistical analysis and essential hands-on application to managerial decision-making in public administration and policy. Understanding statistical analysis and being able to work with data are important competencies of professionalism in public administration and policy. Course topics include data collection and measurement, central tendency, descriptive statistics, sampling, inference, hypothesis testing with Chi-square, mean comparison with t-test and ANOVA, simple regression, multiple regressions and logistic regression. This course is also designed to develop students' skills in spreadsheet and popular statistical software such as Microsoft Excel or SPSS. All students are required to employ these techniques learned in class and tutorial sessions to work on their exercises and exams.