This course provides knowledge about statistical concepts and various ways of operationalizing statistical techniques, both descriptive and inferential statistics. Lectures emphasize a practical approach, in the sense of directing students to become users of statistics as a tool in educational research activities. This discussion of statistics includes: Understanding inferential statistics and hypotheses, Data and Data Collection, Research Hypotheses, Measurement of Research Instruments (Validity and Reliability) in Research, Data Processing and Analysis, Research Design, Descriptive Statistical Tests (Nominal, Ordinal and Ratio data types / Interval), Statistical Test of Parameter 1 (Comparative Analysis of two samples), Statistical Test of Parameter 2 (Comparative Analysis of more than two samples), Statistical Test of Parameter 3 (One-Way Anova & Two-Way Anova), Correlation Analysis (Pearson Product Moment & Multiple), Regression Analysis (Simple and Multiple), Non-Parametric Statistical Tests, Prepare quantitative research proposals and conduct individual mini research. The learning process includes providing information, group work, presentations, and individual assignments. Evaluation of learning outcomes includes mid-semester exams, final semester exams, independent assignments, group assignments and class activities.