Course Description
The material for this research II statistics course discusses inferential (inductive) statistics, which relates to Opportunity Theory, Opportunity Distribution, Statistical Estimation, Hypothesis Testing, Chi Square Distribution, F Distribution, Multiple Relationship Analysis (Correlation and Regression), Path Analysis, Diagrams Paths and Structural Equations in Nonparametric Statistics. Lectures are carried out using a system of discussions, project assignments and reflection.Course DescriptionThis Course discusses inferential (inductive) statistics, which are related to Probability Theory, Probability Distribution, Statistical Estimation, Hypothesis Testing, Chi Square Distribution, F Distribution, Multiple Relationship Analysis (Correlation and Regression), Path Analysis, Nonparametric Statistical Pathways and Diagrams Structural Equations. Lectures are carried out with a system of discussion, project assignments and reflection.
Program Objectives (PO)
- Able to master the basic concepts of inferential statistics and calculate inferential statistics using software computer
- Able to use ICT to explore argumentation information and critical analysis related to research statistics
- Able to make strategic decisions based on information analysis and statistical output data
- Able to have the character of faith, intelligent, independent, honest, caring and tough in determining appropriate inferential statistical techniques