SOCIAL STATISTICS (4 SCU)

Learning Outcomes:

Upon successful completion of this course, students are expected to be able to: Explain the needs of data quantification for explaining social phenomena; Present, process and summarize sample data using appropriate descriptive statistics; Explain and apply basic techniques in hypothesis testing of one- ,two-, or more variables; Use appropriate statistical software package for basic data presentation and analysis purposes; Conduct appropriate statistical analysis and interpret the data accordingly

Topics:

This course offers an introductory statistics course for social science students. The core topics include not only descriptive statistics, but also connection between two or more variables. In each classes students explore the basic frequency distributions, graphic presentation, measures of central tendency, measures of variability, normal distribution, sampling and sampling distribution, estimation, testing hypothesis, relationships between two variables: cross-tabulation, the Chi-Square test, measures of association for nominal and ordinal variables, regression and correlation, and analysis of variance. The use of statistical software using Excel and/or SPSS is introduced and encouraged in order to better present the data summary and automate statistical calculations.
Pre-requisite: None