Introductory Statistics

This graduate-level course offers an introduction to fundamental statistical concepts and their practical application in the social and behavioral sciences. Students learn to interpret a range of statistical topics, including central tendency, dispersion, and correlation techniques. The curriculum covers essential statistical tests such as t-tests, ANOVA, and regression analysis, while also introducing more advanced concepts like factor analysis and nonparametric methods. The course is designed as an interactive seminar where students gain hands-on experience using SPSS for data analysis. The primary goal is to equip students with the necessary knowledge and skills to understand statistical terminology and perform basic data analysis in their respective fields.