Application Statistics Education Course

This course teaches students about various quantitative data analysis techniques. Study materials include: the nature of quantitative data analysis; several basic concepts in quantitative analysis (data, population and sample; parameters; variables, hypotheses); sampling error; normal curve; test assumptions; level and significance test; data presentation techniques; and parametric and non-parametric data analysis techniques (concepts, examples and exercises). Lectures are carried out through online and offline systems using lecture, discussion, homework and case study methods. Student success is based on participation scores, assignment scores, mid-term exam scores (UTS), and final semester exam scores (UAS).